Research Paper Explorer is an open-source tool designed to help students, researchers, and academics discover, analyze, and visualize research publications, topics, and collaboration networks.

It enables users to explore scholarly data efficiently and transform raw publications into meaningful insights.

✔️ Automated Research Paper Scraping
✔️ Topic Detection & Categorization
✔️ Publication Search & Filtering
✔️ Author & Citation Network Analysis
✔️ Keyword & Trend Analysis
✔️ Data Export (CSV / JSON / Reports)
✔️ Visualization of Research Networks

This project is ideal for:

• 🎓 University Students (Bachelors, Masters, PhD)
• 🧑‍🔬 Academic Researchers
• 📊 Data Scientists in Research Domains
• 📖 Literature Review Writers
• 📈 Research Analysts

Use it to:

• Perform literature surveys
• Find trending research topics
• Analyze collaboration patterns
• Track publication impact

• Language: Python
• Web Scraping: Requests / BeautifulSoup / Selenium
• Data Processing: Pandas, NumPy
• NLP & AI: spaCy / NLTK / Transformers (optional)
• Database: SQLite / PostgreSQL / MongoDB
• Visualization: NetworkX, Matplotlib, Plotly
• Backend (Optional): Flask / FastAPI

git clone https://github.com/sudhanshubliz/data-scraper-tool.git
cd research-paper-explorer

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

pip install -r requirements.txt
streamlit run app_streamlit.py

https://data-scraper-ai-tool.streamlit.app/