Intelligent Research Paper Summarization & Formatting System is an AI-powered academic writing platform that helps researchers, students, and academicians generate, summarize, visualize, and export research papers in professional formats such as IEEE and APA.
The application leverages Google Gemini AI, Streamlit, and data visualization tools to streamline the research paper creation process.
- Generate complete research papers from a topic
- Generate individual paper sections
- Abstract Generation
- Introduction Generation
- Literature Review Generation
- Methodology Generation
- Results & Discussion Generation
- Conclusion Generation
- Reference Generation
- IEEE Research Paper Format
- APA Research Paper Format
- Structured Academic Writing
- Research-Oriented Output
- Word Cloud Generation
- Research Trend Graphs
- Dynamic Data Tables
- Research Insights Visualization
- Ask Questions About Generated Papers
- Context-Aware AI Responses
- Research Topic Assistance
- Text-to-Speech Paper Reader
- Interactive Paper Preview
- PDF Export
- DOCX Export
- IEEE PDF Layout
- APA PDF Layout
User Input (Topic / Text File)
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Streamlit UI
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Google Gemini AI
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Research Paper Generator
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Word Graphs AI Q&A
Cloud
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PDF / DOCX Export
- Streamlit
- Google Gemini 2.5 Flash
- Pandas
- NumPy
- Matplotlib
- WordCloud
- ReportLab
- Python-Docx
- pyttsx3
IntelligentResearchPaperSummarization-FormattingSystem/
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βββ app.py
βββ requirements.txt
βββ README.md
βββ .gitignore
git clone https://github.com/VikasReddyChaduvu/IntelligentResearchPaperSummarization-FormattingSystem.git
cd IntelligentResearchPaperSummarization-FormattingSystempip install -r requirements.txtCreate an environment variable:
GEMINI_API_KEY=your_api_key_herestreamlit run app.pyApplication will run at:
http://localhost:8501
- Enter a research topic or upload a text file.
- Select IEEE or APA formatting.
- Generate individual sections or a complete research paper.
- Visualize content using Word Clouds and Graphs.
- Ask AI questions about the generated paper.
- Export the paper as PDF or DOCX.
Through this project, I gained practical experience in:
- Streamlit Application Development
- Prompt Engineering
- Google Gemini API Integration
- AI-Powered Content Generation
- PDF & DOCX Document Generation
- Data Visualization
- Text-to-Speech Systems
- Research-Oriented Application Design
- Git & GitHub Workflow
- PDF Research Paper Upload Support
- Research Paper Summarization
- Citation Management System
- Multi-Language Support
- Research Recommendation Engine
- Plagiarism Detection
- Cloud Deployment
- User Authentication & Profiles
Vikas Reddy Chaduvu
GitHub: https://github.com/VikasReddyChaduvu
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β Star the repository to support the project and future improvements.
This project is intended for educational and research purposes.