From fd67c83f7bd3fc27ae5fbaf6d37429336c45b2a7 Mon Sep 17 00:00:00 2001 From: Rashmi Banthia Date: Thu, 14 Nov 2024 13:33:12 -0500 Subject: [PATCH] update tutorial + showcase --- ProjectShowcase.md | 2 ++ _site/ProjectShowcase/index.html | 2 +- _site/assets/js/search-data.json | 9 ++++++++- _site/assets/projects/FashionAI.jpg | Bin 0 -> 191170 bytes _site/assets/projects/gAIn.jpeg | Bin 0 -> 202290 bytes _site/tutorials_demo/index.html | 2 +- assets/projects/FashionAI.jpg | Bin 0 -> 191170 bytes assets/projects/gAIn.jpeg | Bin 0 -> 202290 bytes tutorials_demo.md | 6 ++++++ 9 files changed, 18 insertions(+), 3 deletions(-) create mode 100644 _site/assets/projects/FashionAI.jpg create mode 100644 _site/assets/projects/gAIn.jpeg create mode 100644 assets/projects/FashionAI.jpg create mode 100644 assets/projects/gAIn.jpeg diff --git a/ProjectShowcase.md b/ProjectShowcase.md index 11e8360..ee351f6 100644 --- a/ProjectShowcase.md +++ b/ProjectShowcase.md @@ -42,3 +42,5 @@ nav_order: 7 | **27. PrepPal**

PrepPal is an LLM-powered and sustainability-focused recipe assistant that removes the annoying aspects of cooking a meal: all the planning! Based on the user's preferences and cooking time, PrepPal suggests exciting recipes that prioritize the usage of already available ingredients, thereby allowing the user to discover new meals effortlessly while reducing food waste at the same time! | | | **28. Innit**

Innit is an immersive language learning app that focuses on giving users more practical language skills that are applicable to their daily lives. We track users' language levels and we will automatically recommend them media every single day at their specific language level which they can interact with via features such as automated summarization and Q&As.| | | **29. PillRx**

PillRx is a Computer Vision app for detecting pills identity from images of pills, followed by a warning about potentially dangerous interaction with alcohol and the option to chat with a RAG-based LLM to learn more about the identified pill. | | +| **30. Fashion AI**

Fashion AI is an AI-powered fashion search platform, allowing users to conduct natural language-based search and styling recommendations without endless browsing. | | +| **31. gAIn**

gAIn is you automated health and fitness coach, providing expert opinions and suggestions about your health and fitness journey based on up-to-date research and your detailed fitness and activity history. We leverage a state-of-the art LLM for chat interactions with the coach, fine-tuned on health and fitness data, and supplemented with data on the user's historical activity through RAG on data such as Strava history. | | diff --git a/_site/ProjectShowcase/index.html b/_site/ProjectShowcase/index.html index 9accc65..328987d 100644 --- a/_site/ProjectShowcase/index.html +++ b/_site/ProjectShowcase/index.html @@ -1 +1 @@ - Project Showcase | AC215 Skip to main content Link Menu Expand (external link) Document Search Copy Copied

AC215 Project Showcase

(December 9th 2024 - 9:00 AM - 11:00 AM)

Description 
1. DecAide

Our tool allows for celebrity stylists, people who need an efficient way to understand historical fashion references, to style their clients using clothing featured on high fashion runways. Our app takes images of outfits, identifies the year that each outfit most closely resembles, and provides recommendations and information to the user based off of that decade and its popular trends.
2. SnapChef

An app that identifies dishes from images, generates detailed recipes, and tailors them to individual preferences and dietary needs could empower food enthusiasts to recreate dishes seen on social media or in restaurants effortlessly.
3. CareConverse

CareConverse is an LLM-powered chatbot to surface personalized information on optimal chronic disease management. By utilizing a large language model (LLM) combined with Retrieval-Augmented Generation (RAG), CareConverse will deliver concise, pertinent context to patients looking for clarity, reassurance and direction on their disease experience, along with citations and links to relevant content. This approach ensures transparency and trust, as users can verify the information and further explore the literature.
4. Pourfect AI

PourfectAI is a conversational chatbot bartender that blends expert mixology knowledge with the convenience of a personal recommendation system. PourfectAI suggests the perfect drink based on user preferences, mood, ingredients on hand, or even dietary needs—whether it’s a fresh mocktail or a classic cocktail with a twist. PourfectAI – where every pour is perfectly yours!
5. ClinIQ

To develop a diagnostic medical assistant tool where clinicians can input symptoms/patient notes into a chatbot and receive possible diagnoses and recommended medications to guide faster, more accurate diagnoses.
6. EmpathOS

Our project, EmpathOS, is a mental health chatbot providing immediate, confidential, and expert support for individuals facing mental health challenges. Leveraging fine-tuning and Retrieval-Augmented Generation (RAG) on Google Cloud, it delivers 24/7, evidence-based guidance, specifically tailored for groups such as teenagers and college students, ensuring scientifically grounded, context-aware responses.
7. 1nvestSense – LLM-powered stock advisor for GenZ investors

1nvestSense is an AI-powered application that leverages LLMs to deliver real-time, actionable insights from market news, tailored specifically for retail investors, particularly Gen Z.
8. CrimsonChat

Computer Science graduate students enter Harvard expecting to be productive and have effortless access to resources, but they hit the obstacle of bureaucratic overhead. CrimsonChat addresses the problem through a friendly, 24/7 available assistant with comprehensive knowledge of departmental resources. For stressed students, CrimsonChat also offers 24/7 mental health support.
9. MoodSync

Introducing a cutting-edge music recommendation tool designed to understand and enhance your listening experience. Simply share how you’re feeling and your favorite music elements, and our tool leverages AI to craft playlists that perfectly match your current emotional and musical appetite.
10. Priva-see

Priva-see is your path to data privacy for any terms and conditions. Simply upload a set of terms and conditions and get a privacy grade along with a summary of key issues. Or input your privacy preferences and receive personalized app recommendations that meet your privacy needs.
11. SmartEats

SmartEats is an innovative AI-powered application that analyzes food images, predicts disease risks, and provides personalized nutrition advice. By simply uploading a photo of their meal, users can get an estimate of nutritional components, calorie count, and tailored dietary suggestions. While designed for a broad audience, SmartEats is especially valuable for individuals with specific dietary needs - whether they’re looking to lose weight, track daily calories, optimize nutrition for fitness, or manage diet-related health risks.
12. Protein_Server

This project aims to develop a user-friendly web application for researchers in protein research. An interactive chatbot will be built to answer general questions on protein structures, functions, and characteristics. A protein LM based tool will allow users to input protein sequences and receive protein function prediction, such as thermostability.
13. Game is Game (Capy Running Coach)

Capy Running Coach is a Personal Running Assistant integrated within WhatsApp, designed to make training more accessible and engaging for runners. Leveraging cutting-edge AI technologies like large language models, speech recognition, and Retrieval-Augmented Generation, the assistant will provide personalized training plans, reminders, performance tracking, and product recommendations directly through WhatsApp. With a user-friendly experience and seamless integration, we aim to eliminate barriers to effective training, enhancing convenience and support for runners.
14. ByteBites

We designed and developed an AI-powered recipe web app that processes shopping receipts to automatically detect purchased food items and suggest corresponding recipes. Users can also specify dietary preferences, such as vegan or gluten-free options. Additionally, we plan to integrate a nutrition tracking feature to enhance the functionality of our app.
15. SpiritMatch

In general, getting started with cocktail making at home can be quite intimidating. There are a lot of things to keep in mind (such as drink ingredients, tools, garnishes, whether or not to add ice, etc.). Therefore, the aim of this project is to develop an application that can allow for users to rely on a virtual bartender, Eustace, who will easily generate cocktail recipe recommendations based on the user’s mood, situation, and/or household ingredients. With every interaction, users can expect a unique and thoughtful experience, where cocktail-making becomes both a creative journey and a delightful discovery, tailored just for them.
16. Yarn Master

It’s really common to find crochet products we’d love to make ourselves, but finding clear, step-by-step instructions can be really challenging. Currently, there isn’t an AI-powered tool that can effectively generate meaningful crochet instructions. We came up with the idea of developing a deep learning model specifically designed for crochet products. Users would be able to upload pictures of crochet items they find interesting, and the model would generate detailed instructions for recreating those products.
17. Bloodwise

Bloodwise provides users with easy explanations of lab test results based on the provided results and a symptom summary. The application suggests what the results could mean, and if abnormal, suggests lifestyle changes, specifying to consult with a physician as well.
18. Billionaire.ai

Billionaire.ai is a professional, real-time financial advisor powered by advanced LLMs, delivering concise insights and rich visualizations tailored for investors of all levels. Transform your investment strategy with trusted data and expert recommendations in an instant.
19. Sales Mate

We built an LLM/RAG-enabled customer sales rep training tool. Our product provides two main functions for sales training teams: a customer simulator that enables sales reps to practice initiating and closing sales conversations and a copilot knowledge helper that provides conversation advice in real-time.
20. Daily Meal Assistant

Our project develop an app that serves as your personal meal assistant. This app recommends recipes based on the ingredients you have on hand, which you can simply upload via images. By combining Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) and dynamic API integrations, our app delivers insightful suggestions for both home cooking and dining experiences. Transform the way you eat with our smart, responsive meal assistant at your fingertips.
21. VeritasTrial

This project aims to develop an AI-powered system that enables users to efficiently search and explore clinical trials within a database. The system will utilize a fine-tuned language model (LLM) to identify and retrieve the most relevant trials based on user queries. It will then allow users to interact with specific trials and provide accurate responses by leveraging both the fine-tuned model and structured clinical trial data stored in the database.
22. Tripee

Tripee is an LLM-powered trip itinerary generator that optimizes routes and incorporates map visualization. By leveraging state-of-the-art fine-tuning and Retrieval-Augmented Generation, our solution generates thematic itineraries tailored to users’ specific needs, including city, duration, and type of trip, without the need for hosting large travel datasets.
23. Harvard Academia Atlas

The Harvard Academia Atlas helps students navigate their academic journey by offering personalized course recommendations based on their backgrounds, interests, and goals. It suggests courses, explains their relevance to academic and career paths and helps create conflict-free schedules for easy management.
24. ECGuide

Interpreting electrocardiograms (ECGs) is a critical skill for healthcare providers, yet ECG education has remained largely unchanged for over 50 years. ECGuide revolutionizes this learning experience by offering personalized, interactive ECG education. Users can upload an ECG, and our platform guides them through a detailed analysis, highlighting key diagnostic features and helping them build a deeper, more practical understanding of ECG interpretation.
25. Adversarial Playground

Adversarial Playground is an app that enables users to investigate the consequences of adversarial attacks on image classification problems. Users are able to interact with the Adversarial Robustness Toolbox to perform preset attacks against models to demonstrate their efficacy while having the option to observe how these attacks can be mitigated.
26. AI4Good

A large portion of any research is limited to academic journals and does not result in practical societal changes. The goal of this project is to close that divide by developing a platform that links AI research groups with organizations and associations that could gain from their research. With the help of Large Language Models (LLMs), we aim to discover academic papers that have the capacity to tackle societal issues, promoting valuable partnerships.
27. PrepPal

PrepPal is an LLM-powered and sustainability-focused recipe assistant that removes the annoying aspects of cooking a meal: all the planning! Based on the user’s preferences and cooking time, PrepPal suggests exciting recipes that prioritize the usage of already available ingredients, thereby allowing the user to discover new meals effortlessly while reducing food waste at the same time!
28. Innit

Innit is an immersive language learning app that focuses on giving users more practical language skills that are applicable to their daily lives. We track users’ language levels and we will automatically recommend them media every single day at their specific language level which they can interact with via features such as automated summarization and Q&As.
29. PillRx

PillRx is a Computer Vision app for detecting pills identity from images of pills, followed by a warning about potentially dangerous interaction with alcohol and the option to chat with a RAG-based LLM to learn more about the identified pill.
+ Project Showcase | AC215 Skip to main content Link Menu Expand (external link) Document Search Copy Copied

AC215 Project Showcase

(December 9th 2024 - 9:00 AM - 11:00 AM)

Description 
1. DecAide

Our tool allows for celebrity stylists, people who need an efficient way to understand historical fashion references, to style their clients using clothing featured on high fashion runways. Our app takes images of outfits, identifies the year that each outfit most closely resembles, and provides recommendations and information to the user based off of that decade and its popular trends.
2. SnapChef

An app that identifies dishes from images, generates detailed recipes, and tailors them to individual preferences and dietary needs could empower food enthusiasts to recreate dishes seen on social media or in restaurants effortlessly.
3. CareConverse

CareConverse is an LLM-powered chatbot to surface personalized information on optimal chronic disease management. By utilizing a large language model (LLM) combined with Retrieval-Augmented Generation (RAG), CareConverse will deliver concise, pertinent context to patients looking for clarity, reassurance and direction on their disease experience, along with citations and links to relevant content. This approach ensures transparency and trust, as users can verify the information and further explore the literature.
4. Pourfect AI

PourfectAI is a conversational chatbot bartender that blends expert mixology knowledge with the convenience of a personal recommendation system. PourfectAI suggests the perfect drink based on user preferences, mood, ingredients on hand, or even dietary needs—whether it’s a fresh mocktail or a classic cocktail with a twist. PourfectAI – where every pour is perfectly yours!
5. ClinIQ

To develop a diagnostic medical assistant tool where clinicians can input symptoms/patient notes into a chatbot and receive possible diagnoses and recommended medications to guide faster, more accurate diagnoses.
6. EmpathOS

Our project, EmpathOS, is a mental health chatbot providing immediate, confidential, and expert support for individuals facing mental health challenges. Leveraging fine-tuning and Retrieval-Augmented Generation (RAG) on Google Cloud, it delivers 24/7, evidence-based guidance, specifically tailored for groups such as teenagers and college students, ensuring scientifically grounded, context-aware responses.
7. 1nvestSense – LLM-powered stock advisor for GenZ investors

1nvestSense is an AI-powered application that leverages LLMs to deliver real-time, actionable insights from market news, tailored specifically for retail investors, particularly Gen Z.
8. CrimsonChat

Computer Science graduate students enter Harvard expecting to be productive and have effortless access to resources, but they hit the obstacle of bureaucratic overhead. CrimsonChat addresses the problem through a friendly, 24/7 available assistant with comprehensive knowledge of departmental resources. For stressed students, CrimsonChat also offers 24/7 mental health support.
9. MoodSync

Introducing a cutting-edge music recommendation tool designed to understand and enhance your listening experience. Simply share how you’re feeling and your favorite music elements, and our tool leverages AI to craft playlists that perfectly match your current emotional and musical appetite.
10. Priva-see

Priva-see is your path to data privacy for any terms and conditions. Simply upload a set of terms and conditions and get a privacy grade along with a summary of key issues. Or input your privacy preferences and receive personalized app recommendations that meet your privacy needs.
11. SmartEats

SmartEats is an innovative AI-powered application that analyzes food images, predicts disease risks, and provides personalized nutrition advice. By simply uploading a photo of their meal, users can get an estimate of nutritional components, calorie count, and tailored dietary suggestions. While designed for a broad audience, SmartEats is especially valuable for individuals with specific dietary needs - whether they’re looking to lose weight, track daily calories, optimize nutrition for fitness, or manage diet-related health risks.
12. Protein_Server

This project aims to develop a user-friendly web application for researchers in protein research. An interactive chatbot will be built to answer general questions on protein structures, functions, and characteristics. A protein LM based tool will allow users to input protein sequences and receive protein function prediction, such as thermostability.
13. Game is Game (Capy Running Coach)

Capy Running Coach is a Personal Running Assistant integrated within WhatsApp, designed to make training more accessible and engaging for runners. Leveraging cutting-edge AI technologies like large language models, speech recognition, and Retrieval-Augmented Generation, the assistant will provide personalized training plans, reminders, performance tracking, and product recommendations directly through WhatsApp. With a user-friendly experience and seamless integration, we aim to eliminate barriers to effective training, enhancing convenience and support for runners.
14. ByteBites

We designed and developed an AI-powered recipe web app that processes shopping receipts to automatically detect purchased food items and suggest corresponding recipes. Users can also specify dietary preferences, such as vegan or gluten-free options. Additionally, we plan to integrate a nutrition tracking feature to enhance the functionality of our app.
15. SpiritMatch

In general, getting started with cocktail making at home can be quite intimidating. There are a lot of things to keep in mind (such as drink ingredients, tools, garnishes, whether or not to add ice, etc.). Therefore, the aim of this project is to develop an application that can allow for users to rely on a virtual bartender, Eustace, who will easily generate cocktail recipe recommendations based on the user’s mood, situation, and/or household ingredients. With every interaction, users can expect a unique and thoughtful experience, where cocktail-making becomes both a creative journey and a delightful discovery, tailored just for them.
16. Yarn Master

It’s really common to find crochet products we’d love to make ourselves, but finding clear, step-by-step instructions can be really challenging. Currently, there isn’t an AI-powered tool that can effectively generate meaningful crochet instructions. We came up with the idea of developing a deep learning model specifically designed for crochet products. Users would be able to upload pictures of crochet items they find interesting, and the model would generate detailed instructions for recreating those products.
17. Bloodwise

Bloodwise provides users with easy explanations of lab test results based on the provided results and a symptom summary. The application suggests what the results could mean, and if abnormal, suggests lifestyle changes, specifying to consult with a physician as well.
18. Billionaire.ai

Billionaire.ai is a professional, real-time financial advisor powered by advanced LLMs, delivering concise insights and rich visualizations tailored for investors of all levels. Transform your investment strategy with trusted data and expert recommendations in an instant.
19. Sales Mate

We built an LLM/RAG-enabled customer sales rep training tool. Our product provides two main functions for sales training teams: a customer simulator that enables sales reps to practice initiating and closing sales conversations and a copilot knowledge helper that provides conversation advice in real-time.
20. Daily Meal Assistant

Our project develop an app that serves as your personal meal assistant. This app recommends recipes based on the ingredients you have on hand, which you can simply upload via images. By combining Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) and dynamic API integrations, our app delivers insightful suggestions for both home cooking and dining experiences. Transform the way you eat with our smart, responsive meal assistant at your fingertips.
21. VeritasTrial

This project aims to develop an AI-powered system that enables users to efficiently search and explore clinical trials within a database. The system will utilize a fine-tuned language model (LLM) to identify and retrieve the most relevant trials based on user queries. It will then allow users to interact with specific trials and provide accurate responses by leveraging both the fine-tuned model and structured clinical trial data stored in the database.
22. Tripee

Tripee is an LLM-powered trip itinerary generator that optimizes routes and incorporates map visualization. By leveraging state-of-the-art fine-tuning and Retrieval-Augmented Generation, our solution generates thematic itineraries tailored to users’ specific needs, including city, duration, and type of trip, without the need for hosting large travel datasets.
23. Harvard Academia Atlas

The Harvard Academia Atlas helps students navigate their academic journey by offering personalized course recommendations based on their backgrounds, interests, and goals. It suggests courses, explains their relevance to academic and career paths and helps create conflict-free schedules for easy management.
24. ECGuide

Interpreting electrocardiograms (ECGs) is a critical skill for healthcare providers, yet ECG education has remained largely unchanged for over 50 years. ECGuide revolutionizes this learning experience by offering personalized, interactive ECG education. Users can upload an ECG, and our platform guides them through a detailed analysis, highlighting key diagnostic features and helping them build a deeper, more practical understanding of ECG interpretation.
25. Adversarial Playground

Adversarial Playground is an app that enables users to investigate the consequences of adversarial attacks on image classification problems. Users are able to interact with the Adversarial Robustness Toolbox to perform preset attacks against models to demonstrate their efficacy while having the option to observe how these attacks can be mitigated.
26. AI4Good

A large portion of any research is limited to academic journals and does not result in practical societal changes. The goal of this project is to close that divide by developing a platform that links AI research groups with organizations and associations that could gain from their research. With the help of Large Language Models (LLMs), we aim to discover academic papers that have the capacity to tackle societal issues, promoting valuable partnerships.
27. PrepPal

PrepPal is an LLM-powered and sustainability-focused recipe assistant that removes the annoying aspects of cooking a meal: all the planning! Based on the user’s preferences and cooking time, PrepPal suggests exciting recipes that prioritize the usage of already available ingredients, thereby allowing the user to discover new meals effortlessly while reducing food waste at the same time!
28. Innit

Innit is an immersive language learning app that focuses on giving users more practical language skills that are applicable to their daily lives. We track users’ language levels and we will automatically recommend them media every single day at their specific language level which they can interact with via features such as automated summarization and Q&As.
29. PillRx

PillRx is a Computer Vision app for detecting pills identity from images of pills, followed by a warning about potentially dangerous interaction with alcohol and the option to chat with a RAG-based LLM to learn more about the identified pill.
30. Fashion AI

Fashion AI is an AI-powered fashion search platform, allowing users to conduct natural language-based search and styling recommendations without endless browsing.
31. gAIn

gAIn is you automated health and fitness coach, providing expert opinions and suggestions about your health and fitness journey based on up-to-date research and your detailed fitness and activity history. We leverage a state-of-the art LLM for chat interactions with the coach, fine-tuned on health and fitness data, and supplemented with data on the user’s historical activity through RAG on data such as Strava history.
diff --git a/_site/assets/js/search-data.json b/_site/assets/js/search-data.json index 0f533c4..ac88334 100644 --- a/_site/assets/js/search-data.json +++ b/_site/assets/js/search-data.json @@ -1,7 +1,7 @@ {"0": { "doc": "Project Showcase", "title": "AC215 Project Showcase", - "content": "(December 9th 2024 - 9:00 AM - 11:00 AM) . | Description |   | . | 1. DecAide Our tool allows for celebrity stylists, people who need an efficient way to understand historical fashion references, to style their clients using clothing featured on high fashion runways. Our app takes images of outfits, identifies the year that each outfit most closely resembles, and provides recommendations and information to the user based off of that decade and its popular trends. | | . | 2. SnapChef An app that identifies dishes from images, generates detailed recipes, and tailors them to individual preferences and dietary needs could empower food enthusiasts to recreate dishes seen on social media or in restaurants effortlessly. | | . | 3. CareConverse CareConverse is an LLM-powered chatbot to surface personalized information on optimal chronic disease management. By utilizing a large language model (LLM) combined with Retrieval-Augmented Generation (RAG), CareConverse will deliver concise, pertinent context to patients looking for clarity, reassurance and direction on their disease experience, along with citations and links to relevant content. This approach ensures transparency and trust, as users can verify the information and further explore the literature. | | . | 4. Pourfect AI PourfectAI is a conversational chatbot bartender that blends expert mixology knowledge with the convenience of a personal recommendation system. PourfectAI suggests the perfect drink based on user preferences, mood, ingredients on hand, or even dietary needs—whether it’s a fresh mocktail or a classic cocktail with a twist. PourfectAI – where every pour is perfectly yours! | | . | 5. ClinIQ To develop a diagnostic medical assistant tool where clinicians can input symptoms/patient notes into a chatbot and receive possible diagnoses and recommended medications to guide faster, more accurate diagnoses. | | . | 6. EmpathOS Our project, EmpathOS, is a mental health chatbot providing immediate, confidential, and expert support for individuals facing mental health challenges. Leveraging fine-tuning and Retrieval-Augmented Generation (RAG) on Google Cloud, it delivers 24/7, evidence-based guidance, specifically tailored for groups such as teenagers and college students, ensuring scientifically grounded, context-aware responses. | | . | 7. 1nvestSense – LLM-powered stock advisor for GenZ investors 1nvestSense is an AI-powered application that leverages LLMs to deliver real-time, actionable insights from market news, tailored specifically for retail investors, particularly Gen Z. | | . | 8. CrimsonChat Computer Science graduate students enter Harvard expecting to be productive and have effortless access to resources, but they hit the obstacle of bureaucratic overhead. CrimsonChat addresses the problem through a friendly, 24/7 available assistant with comprehensive knowledge of departmental resources. For stressed students, CrimsonChat also offers 24/7 mental health support. | | . | 9. MoodSync Introducing a cutting-edge music recommendation tool designed to understand and enhance your listening experience. Simply share how you’re feeling and your favorite music elements, and our tool leverages AI to craft playlists that perfectly match your current emotional and musical appetite. | | . | 10. Priva-see Priva-see is your path to data privacy for any terms and conditions. Simply upload a set of terms and conditions and get a privacy grade along with a summary of key issues. Or input your privacy preferences and receive personalized app recommendations that meet your privacy needs. | | . | 11. SmartEats SmartEats is an innovative AI-powered application that analyzes food images, predicts disease risks, and provides personalized nutrition advice. By simply uploading a photo of their meal, users can get an estimate of nutritional components, calorie count, and tailored dietary suggestions. While designed for a broad audience, SmartEats is especially valuable for individuals with specific dietary needs - whether they’re looking to lose weight, track daily calories, optimize nutrition for fitness, or manage diet-related health risks. | | . | 12. Protein_Server This project aims to develop a user-friendly web application for researchers in protein research. An interactive chatbot will be built to answer general questions on protein structures, functions, and characteristics. A protein LM based tool will allow users to input protein sequences and receive protein function prediction, such as thermostability. | | . | 13. Game is Game (Capy Running Coach) Capy Running Coach is a Personal Running Assistant integrated within WhatsApp, designed to make training more accessible and engaging for runners. Leveraging cutting-edge AI technologies like large language models, speech recognition, and Retrieval-Augmented Generation, the assistant will provide personalized training plans, reminders, performance tracking, and product recommendations directly through WhatsApp. With a user-friendly experience and seamless integration, we aim to eliminate barriers to effective training, enhancing convenience and support for runners. | | . | 14. ByteBites We designed and developed an AI-powered recipe web app that processes shopping receipts to automatically detect purchased food items and suggest corresponding recipes. Users can also specify dietary preferences, such as vegan or gluten-free options. Additionally, we plan to integrate a nutrition tracking feature to enhance the functionality of our app. | | . | 15. SpiritMatch In general, getting started with cocktail making at home can be quite intimidating. There are a lot of things to keep in mind (such as drink ingredients, tools, garnishes, whether or not to add ice, etc.). Therefore, the aim of this project is to develop an application that can allow for users to rely on a virtual bartender, Eustace, who will easily generate cocktail recipe recommendations based on the user’s mood, situation, and/or household ingredients. With every interaction, users can expect a unique and thoughtful experience, where cocktail-making becomes both a creative journey and a delightful discovery, tailored just for them. | | . | 16. Yarn Master It’s really common to find crochet products we’d love to make ourselves, but finding clear, step-by-step instructions can be really challenging. Currently, there isn’t an AI-powered tool that can effectively generate meaningful crochet instructions. We came up with the idea of developing a deep learning model specifically designed for crochet products. Users would be able to upload pictures of crochet items they find interesting, and the model would generate detailed instructions for recreating those products. | | . | 17. Bloodwise Bloodwise provides users with easy explanations of lab test results based on the provided results and a symptom summary. The application suggests what the results could mean, and if abnormal, suggests lifestyle changes, specifying to consult with a physician as well. | | . | 18. Billionaire.ai Billionaire.ai is a professional, real-time financial advisor powered by advanced LLMs, delivering concise insights and rich visualizations tailored for investors of all levels. Transform your investment strategy with trusted data and expert recommendations in an instant. | | . | 19. Sales Mate We built an LLM/RAG-enabled customer sales rep training tool. Our product provides two main functions for sales training teams: a customer simulator that enables sales reps to practice initiating and closing sales conversations and a copilot knowledge helper that provides conversation advice in real-time. | | . | 20. Daily Meal Assistant Our project develop an app that serves as your personal meal assistant. This app recommends recipes based on the ingredients you have on hand, which you can simply upload via images. By combining Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) and dynamic API integrations, our app delivers insightful suggestions for both home cooking and dining experiences. Transform the way you eat with our smart, responsive meal assistant at your fingertips. | | . | 21. VeritasTrial This project aims to develop an AI-powered system that enables users to efficiently search and explore clinical trials within a database. The system will utilize a fine-tuned language model (LLM) to identify and retrieve the most relevant trials based on user queries. It will then allow users to interact with specific trials and provide accurate responses by leveraging both the fine-tuned model and structured clinical trial data stored in the database. | | . | 22. Tripee Tripee is an LLM-powered trip itinerary generator that optimizes routes and incorporates map visualization. By leveraging state-of-the-art fine-tuning and Retrieval-Augmented Generation, our solution generates thematic itineraries tailored to users’ specific needs, including city, duration, and type of trip, without the need for hosting large travel datasets. | | . | 23. Harvard Academia Atlas The Harvard Academia Atlas helps students navigate their academic journey by offering personalized course recommendations based on their backgrounds, interests, and goals. It suggests courses, explains their relevance to academic and career paths and helps create conflict-free schedules for easy management. | | . | 24. ECGuide Interpreting electrocardiograms (ECGs) is a critical skill for healthcare providers, yet ECG education has remained largely unchanged for over 50 years. ECGuide revolutionizes this learning experience by offering personalized, interactive ECG education. Users can upload an ECG, and our platform guides them through a detailed analysis, highlighting key diagnostic features and helping them build a deeper, more practical understanding of ECG interpretation. | | . | 25. Adversarial Playground Adversarial Playground is an app that enables users to investigate the consequences of adversarial attacks on image classification problems. Users are able to interact with the Adversarial Robustness Toolbox to perform preset attacks against models to demonstrate their efficacy while having the option to observe how these attacks can be mitigated. | | . | 26. AI4Good A large portion of any research is limited to academic journals and does not result in practical societal changes. The goal of this project is to close that divide by developing a platform that links AI research groups with organizations and associations that could gain from their research. With the help of Large Language Models (LLMs), we aim to discover academic papers that have the capacity to tackle societal issues, promoting valuable partnerships. | | . | 27. PrepPal PrepPal is an LLM-powered and sustainability-focused recipe assistant that removes the annoying aspects of cooking a meal: all the planning! Based on the user’s preferences and cooking time, PrepPal suggests exciting recipes that prioritize the usage of already available ingredients, thereby allowing the user to discover new meals effortlessly while reducing food waste at the same time! | | . | 28. Innit Innit is an immersive language learning app that focuses on giving users more practical language skills that are applicable to their daily lives. We track users’ language levels and we will automatically recommend them media every single day at their specific language level which they can interact with via features such as automated summarization and Q&As. | | . | 29. PillRx PillRx is a Computer Vision app for detecting pills identity from images of pills, followed by a warning about potentially dangerous interaction with alcohol and the option to chat with a RAG-based LLM to learn more about the identified pill. | | . ", + "content": "(December 9th 2024 - 9:00 AM - 11:00 AM) . | Description |   | . | 1. DecAide Our tool allows for celebrity stylists, people who need an efficient way to understand historical fashion references, to style their clients using clothing featured on high fashion runways. Our app takes images of outfits, identifies the year that each outfit most closely resembles, and provides recommendations and information to the user based off of that decade and its popular trends. | | . | 2. SnapChef An app that identifies dishes from images, generates detailed recipes, and tailors them to individual preferences and dietary needs could empower food enthusiasts to recreate dishes seen on social media or in restaurants effortlessly. | | . | 3. CareConverse CareConverse is an LLM-powered chatbot to surface personalized information on optimal chronic disease management. By utilizing a large language model (LLM) combined with Retrieval-Augmented Generation (RAG), CareConverse will deliver concise, pertinent context to patients looking for clarity, reassurance and direction on their disease experience, along with citations and links to relevant content. This approach ensures transparency and trust, as users can verify the information and further explore the literature. | | . | 4. Pourfect AI PourfectAI is a conversational chatbot bartender that blends expert mixology knowledge with the convenience of a personal recommendation system. PourfectAI suggests the perfect drink based on user preferences, mood, ingredients on hand, or even dietary needs—whether it’s a fresh mocktail or a classic cocktail with a twist. PourfectAI – where every pour is perfectly yours! | | . | 5. ClinIQ To develop a diagnostic medical assistant tool where clinicians can input symptoms/patient notes into a chatbot and receive possible diagnoses and recommended medications to guide faster, more accurate diagnoses. | | . | 6. EmpathOS Our project, EmpathOS, is a mental health chatbot providing immediate, confidential, and expert support for individuals facing mental health challenges. Leveraging fine-tuning and Retrieval-Augmented Generation (RAG) on Google Cloud, it delivers 24/7, evidence-based guidance, specifically tailored for groups such as teenagers and college students, ensuring scientifically grounded, context-aware responses. | | . | 7. 1nvestSense – LLM-powered stock advisor for GenZ investors 1nvestSense is an AI-powered application that leverages LLMs to deliver real-time, actionable insights from market news, tailored specifically for retail investors, particularly Gen Z. | | . | 8. CrimsonChat Computer Science graduate students enter Harvard expecting to be productive and have effortless access to resources, but they hit the obstacle of bureaucratic overhead. CrimsonChat addresses the problem through a friendly, 24/7 available assistant with comprehensive knowledge of departmental resources. For stressed students, CrimsonChat also offers 24/7 mental health support. | | . | 9. MoodSync Introducing a cutting-edge music recommendation tool designed to understand and enhance your listening experience. Simply share how you’re feeling and your favorite music elements, and our tool leverages AI to craft playlists that perfectly match your current emotional and musical appetite. | | . | 10. Priva-see Priva-see is your path to data privacy for any terms and conditions. Simply upload a set of terms and conditions and get a privacy grade along with a summary of key issues. Or input your privacy preferences and receive personalized app recommendations that meet your privacy needs. | | . | 11. SmartEats SmartEats is an innovative AI-powered application that analyzes food images, predicts disease risks, and provides personalized nutrition advice. By simply uploading a photo of their meal, users can get an estimate of nutritional components, calorie count, and tailored dietary suggestions. While designed for a broad audience, SmartEats is especially valuable for individuals with specific dietary needs - whether they’re looking to lose weight, track daily calories, optimize nutrition for fitness, or manage diet-related health risks. | | . | 12. Protein_Server This project aims to develop a user-friendly web application for researchers in protein research. An interactive chatbot will be built to answer general questions on protein structures, functions, and characteristics. A protein LM based tool will allow users to input protein sequences and receive protein function prediction, such as thermostability. | | . | 13. Game is Game (Capy Running Coach) Capy Running Coach is a Personal Running Assistant integrated within WhatsApp, designed to make training more accessible and engaging for runners. Leveraging cutting-edge AI technologies like large language models, speech recognition, and Retrieval-Augmented Generation, the assistant will provide personalized training plans, reminders, performance tracking, and product recommendations directly through WhatsApp. With a user-friendly experience and seamless integration, we aim to eliminate barriers to effective training, enhancing convenience and support for runners. | | . | 14. ByteBites We designed and developed an AI-powered recipe web app that processes shopping receipts to automatically detect purchased food items and suggest corresponding recipes. Users can also specify dietary preferences, such as vegan or gluten-free options. Additionally, we plan to integrate a nutrition tracking feature to enhance the functionality of our app. | | . | 15. SpiritMatch In general, getting started with cocktail making at home can be quite intimidating. There are a lot of things to keep in mind (such as drink ingredients, tools, garnishes, whether or not to add ice, etc.). Therefore, the aim of this project is to develop an application that can allow for users to rely on a virtual bartender, Eustace, who will easily generate cocktail recipe recommendations based on the user’s mood, situation, and/or household ingredients. With every interaction, users can expect a unique and thoughtful experience, where cocktail-making becomes both a creative journey and a delightful discovery, tailored just for them. | | . | 16. Yarn Master It’s really common to find crochet products we’d love to make ourselves, but finding clear, step-by-step instructions can be really challenging. Currently, there isn’t an AI-powered tool that can effectively generate meaningful crochet instructions. We came up with the idea of developing a deep learning model specifically designed for crochet products. Users would be able to upload pictures of crochet items they find interesting, and the model would generate detailed instructions for recreating those products. | | . | 17. Bloodwise Bloodwise provides users with easy explanations of lab test results based on the provided results and a symptom summary. The application suggests what the results could mean, and if abnormal, suggests lifestyle changes, specifying to consult with a physician as well. | | . | 18. Billionaire.ai Billionaire.ai is a professional, real-time financial advisor powered by advanced LLMs, delivering concise insights and rich visualizations tailored for investors of all levels. Transform your investment strategy with trusted data and expert recommendations in an instant. | | . | 19. Sales Mate We built an LLM/RAG-enabled customer sales rep training tool. Our product provides two main functions for sales training teams: a customer simulator that enables sales reps to practice initiating and closing sales conversations and a copilot knowledge helper that provides conversation advice in real-time. | | . | 20. Daily Meal Assistant Our project develop an app that serves as your personal meal assistant. This app recommends recipes based on the ingredients you have on hand, which you can simply upload via images. By combining Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) and dynamic API integrations, our app delivers insightful suggestions for both home cooking and dining experiences. Transform the way you eat with our smart, responsive meal assistant at your fingertips. | | . | 21. VeritasTrial This project aims to develop an AI-powered system that enables users to efficiently search and explore clinical trials within a database. The system will utilize a fine-tuned language model (LLM) to identify and retrieve the most relevant trials based on user queries. It will then allow users to interact with specific trials and provide accurate responses by leveraging both the fine-tuned model and structured clinical trial data stored in the database. | | . | 22. Tripee Tripee is an LLM-powered trip itinerary generator that optimizes routes and incorporates map visualization. By leveraging state-of-the-art fine-tuning and Retrieval-Augmented Generation, our solution generates thematic itineraries tailored to users’ specific needs, including city, duration, and type of trip, without the need for hosting large travel datasets. | | . | 23. Harvard Academia Atlas The Harvard Academia Atlas helps students navigate their academic journey by offering personalized course recommendations based on their backgrounds, interests, and goals. It suggests courses, explains their relevance to academic and career paths and helps create conflict-free schedules for easy management. | | . | 24. ECGuide Interpreting electrocardiograms (ECGs) is a critical skill for healthcare providers, yet ECG education has remained largely unchanged for over 50 years. ECGuide revolutionizes this learning experience by offering personalized, interactive ECG education. Users can upload an ECG, and our platform guides them through a detailed analysis, highlighting key diagnostic features and helping them build a deeper, more practical understanding of ECG interpretation. | | . | 25. Adversarial Playground Adversarial Playground is an app that enables users to investigate the consequences of adversarial attacks on image classification problems. Users are able to interact with the Adversarial Robustness Toolbox to perform preset attacks against models to demonstrate their efficacy while having the option to observe how these attacks can be mitigated. | | . | 26. AI4Good A large portion of any research is limited to academic journals and does not result in practical societal changes. The goal of this project is to close that divide by developing a platform that links AI research groups with organizations and associations that could gain from their research. With the help of Large Language Models (LLMs), we aim to discover academic papers that have the capacity to tackle societal issues, promoting valuable partnerships. | | . | 27. PrepPal PrepPal is an LLM-powered and sustainability-focused recipe assistant that removes the annoying aspects of cooking a meal: all the planning! Based on the user’s preferences and cooking time, PrepPal suggests exciting recipes that prioritize the usage of already available ingredients, thereby allowing the user to discover new meals effortlessly while reducing food waste at the same time! | | . | 28. Innit Innit is an immersive language learning app that focuses on giving users more practical language skills that are applicable to their daily lives. We track users’ language levels and we will automatically recommend them media every single day at their specific language level which they can interact with via features such as automated summarization and Q&As. | | . | 29. PillRx PillRx is a Computer Vision app for detecting pills identity from images of pills, followed by a warning about potentially dangerous interaction with alcohol and the option to chat with a RAG-based LLM to learn more about the identified pill. | | . | 30. Fashion AI Fashion AI is an AI-powered fashion search platform, allowing users to conduct natural language-based search and styling recommendations without endless browsing. | | . | 31. gAIn gAIn is you automated health and fitness coach, providing expert opinions and suggestions about your health and fitness journey based on up-to-date research and your detailed fitness and activity history. We leverage a state-of-the art LLM for chat interactions with the coach, fine-tuned on health and fitness data, and supplemented with data on the user’s historical activity through RAG on data such as Strava history. | | . ", "url": "/ProjectShowcase/#ac215-project-showcase", "relUrl": "/ProjectShowcase/#ac215-project-showcase" @@ -601,6 +601,13 @@ "relUrl": "/tutorials_demo/#tutorial-25-frontend-react" },"86": { + "doc": "Tutorials / Demo", + "title": "Tutorial 26: Deployment to GCP", + "content": ". | Lecture: L19 | Description: Deployment to GCP | GCP GitHub URL: App v3 | . ", + "url": "/tutorials_demo/#tutorial-26-deployment-to-gcp", + + "relUrl": "/tutorials_demo/#tutorial-26-deployment-to-gcp" + },"87": { "doc": "Tutorials / Demo", "title": "Tutorials / Demo", "content": " ", diff --git a/_site/assets/projects/FashionAI.jpg b/_site/assets/projects/FashionAI.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ea507d57b3b593d0a9afbb4f7b78ed7f06309702 GIT binary patch literal 191170 zcmdqJ2{={V`!KwZgJYIirlZVc3X$m;GLx}LaY8Z=nUfqE%u#8ikO--y3?(^cl}aIs z3P(bybBqUP_|`G?Jiq_{yRP?oukX9A|NHKzefGWAUi)76yzX_c?V*0AjzAM8F@DD( z$i@behaiXvVuW!+Z~(!;e-KOvVpxMA=pamZ3wDReZuFspAUdAE{geG5`i=eo=h|^` z<9_|h1TF~BLa(xWx9TO>It-(OLzk1*U~cg2ZNX+ARTY&2*k9}gbeq`W83pi7m_fXV zaib4-nRXaD8e3R^tD{$#w|8*3Z%70LQE{9fER2oOb`G|t7S<*Z3~Z~Ole z#C6O&+zUwA4)pds7VZ@U;3^=TTVA1IfM!NoyF_$EC=CWD#2W?(1aJxs_F0E-(O}PY z`0-jFCkJEDrxhrZ&BG(i2ZA_0fOhdHFCTz|0}o)8;A4KlfPZlS>jwpe90TxC0Ly|t zp#Y}g*Yf-a9-n`}9v+@sI6XXkw%~PMz?)#;eSYDgfgUH)Bj!7rO{ 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Copy Copied

In Class Tutorials / Demos for GCP (and AWS)

Tutorial 1: Create Simple Translate App - No Docker, No Pipenv


Tutorial 2: Create Simple Translate App with Pipenv, No Docker


Tutorial 3: Create Simple Translate App with Docker, Push Image to Docker Hub


Tutorial 4: Run App in VM using Docker


Tutorial 5: Mega Pipeline App

  • Lecture: L04
  • Description: Build a Mega Pipeline App.
  • GCP GitHub URL: Mega Pipeline App
  • Status: Work in Progress (WIP)

Tutorial 5B: Mega Pipeline App


Tutorial 6: Label Studio

  • Lecture: L06
  • Description: Learn how to use Label Studio for data labeling.
  • GCP GitHub URL: Label Studio

Tutorial 7: Versioning

  • Lecture: L06
  • Description: Learn about versioning practices in development.
  • GCP GitHub URL: DVC

Tutorial 8: LLM-RAG

  • Lecture: L08
  • Description: Building a RAG System with Vector DB and LLM
  • GCP GitHub URL: LLM-1

Tutorial 9: LLM-Agents

  • Lecture: L08
  • Description: LLM Agents with Phidata (Notebook)
  • Colab Notebook: LLM-Agents

Tutorial 10: LLM-Agents

  • Lecture: L08
  • Description: LLM Agents
  • GCP GitHub URL: LLM-Agents

Tutorial 11: LLM-Fine Tuning

Tutorial 12: Model Compression and Distillation

Tutorial 13: Experiment Tracking

Tutorial 14: Serveless Model Training with Vertex AI

Tutorial 15: Cloud Function and Cloud Run

Tutorial 16: Model Deployment

Tutorial 17: ML Workflow

  • Lecture: L15
  • Description: ML Workflow
  • GCP GitHub URL: ML Workflow

Tutorial 18: Deploy LLM on VM

  • Lecture: L15
  • Description: Deploy LLM on VM
  • GCP GitHub URL: LLM on VM

Tutorial 19: CI/CD with GitHub Actions and other tools

  • Lecture: L16
  • Description: Simple CI
  • GCP GitHub URL: Simple CI

Tutorial 20: LLM Finetuning Hooks

Tutorial 21: LLM Finetuning Hooks

Tutorial 22: Frontend and FastAPI

  • Lecture: L17
  • Description: Simple Frontend with FastAPI
  • GCP GitHub URL: App v1

Tutorial 23: Backend and FastAPI

  • Lecture: L18
  • Description: Cheese App APIs
  • GCP GitHub URL: App v2

Tutorial 24: Frontend Simple

  • Lecture: L18
  • Description: Frontend Simple
  • GCP GitHub URL: App v2

Tutorial 25: Frontend React

  • Lecture: L18
  • Description: Frontend App (React)
  • GCP GitHub URL: App v2
+ Tutorials / Demo | AC215 Skip to main content Link Menu Expand (external link) Document Search Copy Copied

In Class Tutorials / Demos for GCP (and AWS)

Tutorial 1: Create Simple Translate App - No Docker, No Pipenv


Tutorial 2: Create Simple Translate App with Pipenv, No Docker


Tutorial 3: Create Simple Translate App with Docker, Push Image to Docker Hub


Tutorial 4: Run App in VM using Docker


Tutorial 5: Mega Pipeline App

  • Lecture: L04
  • Description: Build a Mega Pipeline App.
  • GCP GitHub URL: Mega Pipeline App
  • Status: Work in Progress (WIP)

Tutorial 5B: Mega Pipeline App


Tutorial 6: Label Studio

  • Lecture: L06
  • Description: Learn how to use Label Studio for data labeling.
  • GCP GitHub URL: Label Studio

Tutorial 7: Versioning

  • Lecture: L06
  • Description: Learn about versioning practices in development.
  • GCP GitHub URL: DVC

Tutorial 8: LLM-RAG

  • Lecture: L08
  • Description: Building a RAG System with Vector DB and LLM
  • GCP GitHub URL: LLM-1

Tutorial 9: LLM-Agents

  • Lecture: L08
  • Description: LLM Agents with Phidata (Notebook)
  • Colab Notebook: LLM-Agents

Tutorial 10: LLM-Agents

  • Lecture: L08
  • Description: LLM Agents
  • GCP GitHub URL: LLM-Agents

Tutorial 11: LLM-Fine Tuning

Tutorial 12: Model Compression and Distillation

Tutorial 13: Experiment Tracking

Tutorial 14: Serveless Model Training with Vertex AI

Tutorial 15: Cloud Function and Cloud Run

Tutorial 16: Model Deployment

Tutorial 17: ML Workflow

  • Lecture: L15
  • Description: ML Workflow
  • GCP GitHub URL: ML Workflow

Tutorial 18: Deploy LLM on VM

  • Lecture: L15
  • Description: Deploy LLM on VM
  • GCP GitHub URL: LLM on VM

Tutorial 19: CI/CD with GitHub Actions and other tools

  • Lecture: L16
  • Description: Simple CI
  • GCP GitHub URL: Simple CI

Tutorial 20: LLM Finetuning Hooks

Tutorial 21: LLM Finetuning Hooks

Tutorial 22: Frontend and FastAPI

  • Lecture: L17
  • Description: Simple Frontend with FastAPI
  • GCP GitHub URL: App v1

Tutorial 23: Backend and FastAPI

  • Lecture: L18
  • Description: Cheese App APIs
  • GCP GitHub URL: App v2

Tutorial 24: Frontend Simple

  • Lecture: L18
  • Description: Frontend Simple
  • GCP GitHub URL: App v2

Tutorial 25: Frontend React

  • Lecture: L18
  • Description: Frontend App (React)
  • GCP GitHub URL: App v2

Tutorial 26: Deployment to GCP

  • Lecture: L19
  • Description: Deployment to GCP
  • GCP GitHub URL: App v3
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v2](https://github.com/dlops-io/cheese-app-v2#frontend-app-react) + + +## Tutorial 26: Deployment to GCP +- **Lecture**: L19 +- **Description**: Deployment to GCP +- **GCP GitHub URL**: [App v3](https://github.com/dlops-io/cheese-app-v3?tab=readme-ov-file#deployment-to-gcp)

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