ResearchMind AI - Multi-Agent Research Assistant

A production-quality Python application that searches for research papers, generates intelligent summaries, extracts key topics, identifies emerging research trends, and exports professional PDF reports.

🎯 Overview

ResearchMind AI is an intelligent research analysis system powered by Google's Gemini API. It automates the research paper discovery and analysis workflow through a coordinated multi-agent architecture:

1. Search Agent - Discovers research papers on a given topic
2. Summary Agent - Generates detailed summaries of papers
3. Topic Agent - Extracts key research topics and themes
4. Trend Agent - Identifies emerging research trends
5. PDF Generator - Exports professional analysis reports

The system provides both a web interface (Streamlit) and command-line interface (CLI) for flexible usage.

✨ Features

• 🔍 Research paper discovery
• 📝 AI-generated paper summaries
• 🏷️ Topic extraction from papers
• 📈 Emerging trend identification
• 📄 Professional PDF report generation
• 🕘 Search history tracking
• 🎨 Modern Streamlit dashboard

---

🏗️ Architecture

User Query
     │
     ▼
Search Agent
     │
     ▼
Summary Agent
     │
     ▼
Topic Agent
     │
     ▼
Trend Agent
     │
     ▼
PDF Generator

---

🛠️ Tech Stack

Component	Technology	Version
Language	Python	3.11+
AI API	Google Gemini API	gemini-1.5-flash
Web UI	Streamlit	1.28.0+
PDF Generation	ReportLab	4.0.0+
API Client	google-generativeai	0.6.0
Environment	python-dotenv	1.0.0+
HTTP	requests	2.31.0+
Image Processing	Pillow	10.0.0+

---

📂 Project Structure

ResearchMind-ai/
│
├── config.py                 # Configuration, API setup, logging
├── main.py                   # ResearchAnalyzer orchestrator & CLI
├── requirements.txt          # Project dependencies
├── .env                      # Environment variables (API keys)
│
├── agents/                   # Research agents
│   ├── search_agent.py       # Paper discovery via Gemini API
│   ├── summary_agent.py      # Paper summarization
│   ├── topic_agent.py        # Topic extraction
│   └── trend_agent.py        # Trend identification
│
├── tools/                    # Utility functions
│   ├── paper_counter.py      # Paper statistics & filtering
│   └── pdf_generator.py      # PDF report generation (ReportLab)
│
├── app/                      # Streamlit web interface
│   └── streamlit_app.py      # Interactive UI
│
├── outputs/                  # Generated files
│   ├── reports/              # PDF reports (auto-created)
│   └── logs/                 # Application logs (auto-created)
│
└── README.md                 # This file

📊 Data Flow

User Input (Topic)
        ↓
[Search Agent] → Finds papers on topic
        ↓
     Papers List
        ↓
[Summary Agent] → Creates detailed summaries
        ↓
    Summarized Papers
        ↓
[Topic Agent] → Extracts key topics
        ↓
    Topics List
        ↓
[Trend Agent] → Identifies trends
        ↓
    Trends List
        ↓
[Paper Counter] → Calculates statistics
        ↓
    Statistics
        ↓
[PDF Generator] → Creates professional report
        ↓
    PDF File (outputs/reports/)

🔄 API Response Handling

ResearchMind AI is built to handle common API and data issues gracefully.

Scenario	Behavior
No papers found	Shows a user-friendly message and stops analysis safely
Topic extraction fails	Continues with summaries and report generation
Only one paper available	Skips trend analysis and informs the user
Invalid/Incomplete paper data	Skips the affected paper and continues
Empty or malformed API response	Logs the issue and handles it safely
API quota exceeded	Displays an error message without crashing
PDF generation failure	Preserves analysis results and reports the error

Key Features

• Graceful error handling
• Batch API processing for efficiency
• User-friendly warnings
• Comprehensive logging

---

⚙️ Installation

Clone the repository:

git clone https://github.com/mishrashashmit/ResearchMind-ai
cd ResearchMind-ai

Create virtual environment:

python -m venv venv

Activate environment:

# Windows
venv\Scripts\activate

# Linux / Mac
source venv/bin/activate

Install dependencies:

pip install -r requirements.txt

Create a .env file:

GEMINI_API_KEY=your_api_key_here

---

🚀 How to Run ResearchMind AI

1-Run via Web App(Streamlit)

streamlit run app/streamlit_app.py

Open:

http://localhost:8501

---

1-Run via CLI

python main.py

============================================================
ResearchMind AI - Multi-Agent Research Assistant
============================================================
researchmind - INFO - ResearchAnalyzer initialized

🔬 ResearchMind CLI
------------------------------------------------------------
1. Analyze research topic
2. Exit
------------------------------------------------------------
Select option (1-2):

📸 Demo

Add screenshots here:

assets/homepage.png
assets/results.png
assets/pdf_report.png

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🚀 Future Improvements

• Integrate real research databases (ArXiv, Semantic Scholar).
• Add caching to reduce API usage and improve response time.
• Support multiple LLM providers for better reliability.
• Improve trend analysis with publication timeline insights.
• Enable cloud deployment with user authentication.

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👨‍💻 Contributors

Developed by AI & Software Enthusiasts:

• Shashmit Mishra
• Sanskar Pandey

For any collaboration, contact: Mail id : mishrashashmit09@gmail.com

LinkedIn: https://www.linkedin.com/in/shashmit-mishra-9675ab273/

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⭐ Support

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