🧠 Gen AI Assistant for Research Summarization

A Streamlit-powered application using Google Gemini AI for:

• 📄 Document upload (PDF/TXT)
• 🧠 Auto-summarization (≤150 words)
• 💬 Free-form Q&A
• 🎯 Challenge Me Mode (Objective & Subjective quiz generation)

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🌐 Live Demo

https://genai-assistant-by-anmol.streamlit.app

🚀 Features

• PDF/TXT Upload: Upload English documents up to 15 MB.
• Auto-Summary: Generates a concise ≤150-word summary using Gemini.
• Ask Anything: Ask free-form questions from the document content.
• Challenge Me Mode:
  • Objective: Auto-generated multiple-choice questions with scoring
  • Subjective: Auto-generated descriptive questions with answer inputs

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📁 Folder Structure

genai-assistant/
├── app.py
├── .env
├── requirements.txt
├── backend/
│   ├── file_parser.py
│   ├── summarizer.py
│   ├── qa_engine.py
│   └── challenge.py

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🛠️ Setup Instructions

1. Clone this repo

git clone https://github.com/anmolecule94/genai-assistant
cd genai-assistant

2. Create a virtual environment

python -m venv venv
# Windows
venv\Scripts\activate
# macOS/Linux
source venv/bin/activate

3. Install dependencies

pip install -r requirements.txt

4. Set your Gemini API key

• Create a .env file in the root with:

GOOGLE_API_KEY=your-gemini-api-key-here

Get your API key here: https://makersuite.google.com/app/apikey

5. Run the app

streamlit run app.py

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📦 Requirements

• Python 3.9 or 3.10
• API key from Google Gemini (via MakerSuite)