LitReviewAI: Automated Research Paper Reviewer 📚🤖

Smarter Reviews, Faster Insights.
LitReviewAI is an AI-powered assistant that automatically reviews research papers, providing summaries, strengths, weaknesses, and improvement suggestions.

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🚀 Features

• 📄 Upload research papers (PDFs)
• 🔎 Automatic summarization of key contributions
• ✅ Strengths and weaknesses analysis
• 💡 Suggestions for improvement & future directions
• 🌍 Multilingual support (English + translations via Deep Translator)
• 🔑 Keyword and topic extraction (KeyBERT, Gensim LDA)
• 📊 Visualizations (WordClouds, Topic Graphs)

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🛠️ Tech Stack

• Languages: Python
• Frameworks: Streamlit, Hugging Face Transformers, KeyBERT, Gensim
• Libraries: PyMuPDF (fitz), Matplotlib, WordCloud, Deep Translator
• APIs: Hugging Face Inference API, Deep Translator API
• Platforms: Hugging Face Spaces / Streamlit Cloud

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⚙️ Installation (Local Setup)

# Clone repo
git clone https://github.com/Bano733-code/LitReviewAI.git
cd LitReviewAI

# Create virtual environment
python -m venv venv
source venv/bin/activate   # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run Streamlit app
streamlit run app.py

▶️ Usage Upload a research paper (PDF). Choose Review Options: summarization, critique, keywords. Get an AI-powered review report in seconds. (Optional) Translate content into another language.

📈 Roadmap Add plagiarism detection Google Scholar/ArXiv API integration for related work Dashboard for batch paper reviews Fine-tuning on peer-review datasets

🤝 Contributing Pull requests are welcome! Please open an issue first to discuss what you’d like to change.

📜 License MIT License

👩‍💻 Authors Bano Rani – https://github.com/Bano733-code/LitReviewAI