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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -61,7 +61,7 @@ Thus, enhancing overall academic performance and confidence of students

## How It Works!

padh.AI is built using Flutter for the frontend, FastAPI for the backend, OpenAI's CPT-3.5 turbo for querying, FAISS (Facebook AI Similarity Search) library in python for RAG (Retrieval Augmented Generation) and Firebase for authentication.
padh.AI is built using Flutter for the frontend, FastAPI for the backend, OpenAI's GPT-3.5 turbo for querying, FAISS (Facebook AI Similarity Search) library in python for RAG (Retrieval Augmented Generation) and Firebase for authentication.
Here's how it works:

1. **User Authentication:**
Expand All @@ -80,7 +80,7 @@ Here's how it works:

## Tech-Used

- **Frontend:** Flutter - An open source cross-platform UI framework, using which the beautiful screens of bh.AI were built
- **Frontend:** Flutter - An open source cross-platform UI framework, using which the beautiful screens of padh.Ai were built
- **Backend:** FastAPI - Backend for the app, uses Python, performs RAG embeddings on content as well as queries the LLM using system and user prompts
- **langchain:** Framework to integrate LLMs customized for different use Cases
- **FAISS(Facebook AI Similarity Search):** A library for efficient similarity search and clustering of dense vectors.
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