PeerLens is for researchers who want to accelerate their literature review process and identify promising research opportunities. Our AI-powered tool uses Google ADK and Gemini API to analyze 4-5 uploaded research papers, automatically generating specific research gap ideas and evaluating their publication potential through an intelligent assessment system. The platform provides researchers with a publication probability score and detailed justification for each proposed idea, transforming hours of manual literature analysis into actionable, publication-ready research concepts.

• Python
• Google ADK
• Gemini API

• React.js
• Auth0 Authentication
• React Router
• Modern UI components

pip install -r requirements.txt

cd frontend
npm install

Update a .env file with the following variables:

# Gemini API Configuration
GEMINI_API_KEY=your_gemini_api_key

# Auth0 Configuration (Frontend)
REACT_APP_AUTH0_DOMAIN=your_auth0_domain
REACT_APP_AUTH0_CLIENT_ID=your_client_id

cd frontend
npm start

1. Upload Papers: Upload 4-5 research papers in PDF or text format
2. Generate Ideas: The system analyzes papers and generates research gap opportunities
3. Select Idea: Choose from the generated ideas list
4. Evaluation: Parallel agents debate and evaluate your selected idea
5. Get Results: Receive publication probability score with detailed analysis

• Academic Researchers: Identify gaps in current literature
• Graduate Students: Find thesis/dissertation topics
• Research Teams: Evaluate project viability before funding applications
• Publication Planning: Assess publication potential before starting research