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WebUI Copilot is a productivity-enhancing WebUI developed using Agentic AI for NewWebCo. It features AI-powered agents for general queries, clinical RAG, and food security analysis. Built with FastAPI (backend) and React.js (frontend), it leverages Google Generative AI (Gemini) and FAISS for vector embeddings and storage.

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WebUI Copilot

Project Overview

WebUI Copilot is an advanced web-based copilot application that leverages Agentic AI and integrates cutting-edge technology to enhance user productivity. It was originally developed as part of a hackathon project to demonstrate intelligent, context-aware web UI assistance.

Features

  • General Query Handling: Uses AI to provide responses to user queries.
  • Clinical RAG Queries: Fetches clinical data and insights.
  • Food Security Queries: Retrieves and analyzes food security data.
  • Embeddings and Vector Search: Uses FAISS for efficient similarity search.
  • Backend: Built using FastAPI with Google Gemini integration.

Technologies Used

  • FastAPI for backend services
  • Google Gemini for AI-based responses
  • FAISS for vector storage and retrieval
  • Frontend in Typescript

Installation and Setup

  1. Clone the repository:
    git clone [email protected]:yourusername/your-repo.git
    cd webui-copilot

2.  Set up virtual environment
```bash
python3 -m venv venv
source venv/bin/activate
  1. Install required packages
pip install -r requirements.txt

About

WebUI Copilot is a productivity-enhancing WebUI developed using Agentic AI for NewWebCo. It features AI-powered agents for general queries, clinical RAG, and food security analysis. Built with FastAPI (backend) and React.js (frontend), it leverages Google Generative AI (Gemini) and FAISS for vector embeddings and storage.

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