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README.md

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 # AmharicAI-AdGen
-The project centers on an Amharic RAG pipeline, leveraging robust AI for text manipulation. It aims to craft compelling Amharic text ads by analyzing campaign data, incorporating brand specifics, product details, and Telegram channel content history. Successful implementation guarantees resonant advertisements within the dynamic Telegram community.
+## Project Goal: 
+To generate creative and relevant Amharic ad content for Telegram channels, increasing the effectiveness of AiQEM's Adbar advertising solution.
+
+## Background:
+AiQEM is an Ethiopian startup specializing in AI and Blockchain solutions for businesses.
+Adbar is their flagship AI-powered Telegram ad solution for targeted ad placement.
+Growing Telegram use in Ethiopia necessitates adaptation of AI strategies for content generation.
+
+## Project Proposal:
+Develop an Amharic RAG (Retrieval Augmented Generation) pipeline for automatically creating ad content.
+Leverage existing open-source LLM models with Amharic capabilities like:
+Nous Hermes Mistral 8 7B
+Amharic-finetuned LLama 2 versions (Samuael/llama-2-7b-tebot-amharic or iocuydi/llama-2-amharic-3784m)
+Further fine-tune the chosen model on Amharic ad text data specific to Telegram channels.
+
+## Use the RAG pipeline to generate:
+Catchy ad headlines and body text based on campaign briefs (brand, product info)
+Content tailored to the chosen Telegram channel's theme and audience
+
+## Key Success Factors:
+High-quality Amharic text embedding and generation capabilities of the chosen LLM model.
+Fine-tuning on relevant ad text data to ensure content relevance and creativity.
+Integration with Adbar platform for seamless ad generation and deployment.
+
+
+## Expected Outcomes:
+Increased Adbar-generated Amharic ad content led to higher click-through and engagement rates.
+Improved ad targeting and relevance across the Telegram ecosystem.
+Improved brand positioning and awareness among AiQEM clients.
+
+