InsAct 🌍

AI research engine that maps real-world problems to existing solutions and identifies innovation opportunities.

What is InsAct?

InsAct transforms fragmented information across problems, startups solutions, and research, into coherent narratives that help users discover meaningful project opportunities. Whether you're a student seeking impactful project ideas, an innovator identifying market gaps, or a researcher exploring commercialization paths, InsAct weaves the story that connects inspiration to action.

Key Features

• 🔍 Smart Search - Explore problems, startups, and research from any entry point
• 🧠 AI Story Engine - Generates connected narratives across all domains
• 💡 Gap Analysis - Identifies opportunities and unmet needs in the market
• 🛠️ Solution Suggestions - Provides actionable project ideas with required skillsets
• 🎯 Role-Based Insights - Tailored recommendations for students, entrepreneurs, and researchers

How It Works

Entry Point → AI Story Weaving → Gap Analysis → Solution Suggestions

1. Start Anywhere - Search for a problem or explore curated categories
2. Get the Full Story - AI connects related startups, research, and identifies solution gaps
3. Discover Opportunities - Identify gaps and unmet needs in current solutions
4. Take Action - Filter specific project ideas matched to your skills and goals

Tech Stack

• Backend: Python, FastAPI, Vector Database
• AI/ML: OpenAI GPT, Sentence Transformers, Knowledge Graphs
• Frontend: React, TypeScript, Tailwind CSS
• Database: PostgreSQL, Neo4j, Pinecone

Quick Start

# Clone the repository
git clone https://github.com/yourusername/InsAct.git
cd InsAct

# Backend setup
cd backend
pip install -r requirements.txt
python main.py

# Frontend setup
cd ../frontend
npm install
npm start

Project Structure

InsAct/
├── README.md
├── docs/                 # Detailed documentation
├── backend/             # Python FastAPI backend
├── frontend/            # React frontend
├── data/               # Curated datasets
└── scripts/            # Data processing utilities

Use Cases

For Students:

• Find real-world problems to build meaningful projects around
• Understand market context and technical requirements
• Create portfolio projects that impress recruiters

For Innovators:

• Identify gaps in existing solutions and market opportunities
• Understand the research landscape and solution patterns
• Generate validated business ideas with technical feasibility

For Researchers:

• Discover commercialization paths for academic work
• Connect with relevant startups opportunities
• Bridge the gap between research and practical applications

Documentation

• 📋 Project Blueprint - Comprehensive project overview
• 🏗️ Technical Architecture - System design details
• 🗺️ Development Roadmap - Feature timeline and milestones
• 🚀 Contributing Guide - How to contribute to the project

Demo

🌐 Live Demo: https://insact.vu

Development Status

🚧 Current Phase: MVP Development

• ✅ Core architecture design
• 🔄 AI story engine implementation
• ⏳ Frontend interface development
• ⏳ Initial data curation

Contributing

We welcome contributions! Please see our Contributing Guide for details on how to get started.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

• Website: insact.vu
• Email: contact@insact.vu
• Twitter: @InsActPlatform

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Transform fragmented insights into actionable innovation.