An AI powered web application that helps students and researchers understand research papers instantly using Google Gemini LLM and RAG architecture.

https://scholar-research-ai.streamlit.app

Reading and understanding research papers is one of the most time consuming tasks for students and researchers. A single paper can take hours to fully comprehend.

ScholarAI solves this by:

• Instantly summarizing any research paper
• Extracting key insights and findings
• Generating proper academic citations
• Answering any question about the paper in natural language

ScholarAI is built on RAG (Retrieval Augmented Generation) architecture:

User uploads PDF
        ↓
PyPDF2 extracts text from PDF
        ↓
LangChain splits text into chunks
        ↓
HuggingFace converts chunks to embeddings
        ↓
FAISS stores embeddings in vector database
        ↓
User asks question / requests summary
        ↓
FAISS retrieves most relevant chunks
        ↓
Google Gemini LLM generates accurate answer
        ↓
Result displayed in Streamlit UI

ScholarAI/
    ├── app.py              ← Main Streamlit web application
    ├── pdf_processor.py    ← PDF text extraction module
    ├── rag_pipeline.py     ← RAG pipeline and vector database
    ├── gemini_handler.py   ← Google Gemini LLM integration
    ├── requirements.txt    ← Project dependencies
    ├── .gitignore          ← Git ignore file
    └── README.md           ← Project documentation

git clone https://github.com/codeByShan/ScholarAI.git
cd ScholarAI

python -m venv venv
venv\Scripts\activate  # Windows

pip install -r requirements.txt

Create a .env file in the root directory:

GEMINI_API_KEY=your_gemini_api_key_here

Get your free Gemini API key from Google AI Studio

streamlit run app.py

This app is deployed on Streamlit Cloud for free.

To deploy your own version:

1. Fork this repository
2. Go to streamlit.io/cloud
3. Connect your GitHub repository
4. Add GEMINI_API_KEY in Streamlit Secrets
5. Deploy!

Upload any research paper PDF to get started.

Get a comprehensive summary covering all key aspects of the paper.

Extract structured insights including problem, solution, dataset and results.

Generate proper citations in APA, MLA and Chicago formats instantly.

Ask any question about the paper and get accurate answers with conversation memory.

• Students — Understand research papers quickly without reading every page
• Researchers — Extract key findings and insights efficiently
• Academics — Generate proper citations automatically
• Professionals — Stay updated with latest research in your field

• Works best with text based PDFs (not scanned images)
• Gemini free tier has rate limits — may show busy message during peak hours
• Summary is based on first 5000 characters of the paper
• Q&A answers are limited to content within the uploaded paper

• Support for multiple PDF uploads simultaneously
• Search across 200M+ academic papers (like real ScholarAI)
• Export summary and insights as Word/PDF document
• Multilingual support for Urdu and other languages
• Study guide and flashcard generation

Zeeshan Ali (codeByShan)

Aspiring AI Engineer

Built as Final Year Project for AI Bootcamp

This project is open source and available under the MIT License.

Built with ❤️ using Google Gemini, LangChain and Streamlit