An elegant Streamlit web application that uses AI to extract and summarize academic research papers from PDF files. Upload any text-based research paper and instantly receive a structured, academic-style summary with key points, keywords, difficulty rating, and sentiment analysis.
- PDF text extraction using
pdfplumber - AI-powered academic summarization via CAMEL + Groq (LLaMA 3.1)
- Structured output:
- Abstract-level summary
- 10 key points
- Technical keywords
- Difficulty rating (1–10)
- Sentiment analysis
- Professional Streamlit UI with custom styling
- Fast and lightweight
- Secure: API keys stored in
.env
- Upload a research paper in PDF format
- Click Generate Summary
- View a clean, academic-style summary
- Copy or save the result for your research
- Frontend: Streamlit
- PDF Parsing: pdfplumber
- AI Engine: CAMEL Agents
- LLM Provider: Groq (LLaMA 3.1 8B Instant)
- Environment Management: python-dotenv