Ikigai is an interactive self-help app inspired by the Japanese concept of finding one's purpose in life. It aims to assist users in discovering and achieving their "Ikigai" through a blend of AI-driven guidance and community support. The backend is built with Python, while the frontend utilizes Next.js and Tailwind CSS.
Project for hackathon on lablab ai. Link: https://lablab.ai/event/autonomous-agents-hackathon/agora-spartans/ikigai
These instructions will help you set up the project on your local machine for development and testing purposes.
- Docker
- Docker Compose
- Clone the repository to your local machine:
git clone https://github.com/ZackBradshaw/ikigAI.git
cd ikigAI/app- Build the Docker image:
docker-compose build- Start the Docker containers:
docker-compose up- The app will be running at http://localhost:5000.
- User Profile Module: Collects user's interests, skills, passions, and values.
- Ikigai Discovery Module: Helps users find the intersection of what they love, what they are good at, what the world needs, and what they can be paid for.
- Goal Setting Module: Allows users to set short-term and long-term goals related to their Ikigai.
- AI Assistant Module: Provides timely notifications, reminders, and guidance.
- Progress Tracking Module: Tracks user's progress towards achieving their Ikigai.
- Community Module: Connects users with a community of like-minded individuals.
... (rest of the existing content)
If you are interested in contributing to the Ikigai project, feel free to fork the repository, create a new branch for your work, and open a pull request. For major changes, please open an issue first to discuss what you would like to change.
- Repository Owner: Zack Bradshaw