https://github.com/faisalhakimi22/market-intelligence-platform
The Market Intelligence Platform is an AI-powered solution designed for entrepreneurs and startup founders to analyze market data, identify business opportunities, track industry trends, evaluate competitors, forecast demand, and assess risks. By combining real-time market data with advanced AI analysis.
https://github.com/faisalhakimi22/market-intelligence-platform
Science Score: 26.0%
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Low similarity (10.0%) to scientific vocabulary
Repository
The Market Intelligence Platform is an AI-powered solution designed for entrepreneurs and startup founders to analyze market data, identify business opportunities, track industry trends, evaluate competitors, forecast demand, and assess risks. By combining real-time market data with advanced AI analysis.
Basic Info
- Host: GitHub
- Owner: Faisalhakimi22
- License: mit
- Language: TypeScript
- Default Branch: main
- Homepage: https://market-intelligence-platform.vercel.app
- Size: 2.42 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Market Intelligence Platform
Overview
The Market Intelligence Platform is an AI-powered solution designed for entrepreneurs and startup founders to analyze market data, identify business opportunities, track industry trends, evaluate competitors, forecast demand, and assess risks. By combining real-time market data with advanced AI analysis, this platform helps new business ventures succeed in competitive markets through data-driven insights.

Key Features
- Real-time Market Data Integration: Seamlessly connects with multiple data sources including Alpha Vantage, Financial Modeling Prep, Finnhub, Yahoo Finance, and Google Trends
- AI-Powered Analysis: Leverages OpenRouter API for sophisticated market trend analysis and opportunity identification
- Competitor Intelligence: Monitors and analyzes competitor activities, market positioning, and strategies
- Opportunity Detection: Identifies potential market opportunities based on trend analysis and user interest patterns
- Time-Series Forecasting: Utilizes advanced ARIMA and linear regression models for accurate demand trend predictions
- Interactive Dashboards: Presents complex market data through intuitive and interactive visualization components
- Mobile-Responsive Design: Ensures seamless experiences across all devices with responsive design principles
Technology Stack
Frontend
- React.js with TypeScript
- TanStack Query for data fetching and cache management
- Chart.js and Recharts for data visualization
- Tailwind CSS with shadcn/ui components for styling
- Wouter for client-side routing
Backend
- Node.js with Express.js
- PostgreSQL database with Drizzle ORM
- Passport.js for authentication
- OpenRouter API integration for AI-powered insights
Data Integration
- Alpha Vantage API for financial market data
- Financial Modeling Prep API for company financial analysis
- Finnhub API for real-time market updates
- Yahoo Finance integration via Python's yfinance library
- Google Trends integration via Python's pytrends library
Getting Started
Prerequisites
- Node.js (v16+)
- Python (v3.8+)
- PostgreSQL database
- API keys for:
- Alpha Vantage
- Financial Modeling Prep
- Finnhub
- OpenRouter or Perplexity
Installation
Clone the repository:
bash git clone https://github.com/yourusername/market-intelligence-platform.git cd market-intelligence-platformInstall Node.js dependencies:
bash npm installInstall Python dependencies:
bash pip install pandas pytrends requests yfinanceSet up environment variables by creating a
.envfile in the project root:DATABASE_URL=postgresql://username:password@localhost:5432/market_intelligence ALPHA_VANTAGE_API_KEY=your_alpha_vantage_key FINANCIAL_MODELING_PREP_API_KEY=your_financial_modeling_prep_key FINNHUB_API_KEY=your_finnhub_key OPENROUTER_API_KEY=your_openrouter_key PERPLEXITY_API_KEY=your_perplexity_keySet up the database schema:
bash npm run db:push
Running Locally
Start the development server:
bash
npm run dev
The application will be available at http://localhost:5000.
Deployment
The project is configured for deployment on Vercel:
- Create a new project on Vercel
- Link it to your GitHub repository
- Configure the environment variables in the Vercel dashboard
- Deploy the project
Project Structure
├── client/ # Frontend React application
│ ├── src/
│ │ ├── components/ # Reusable UI components
│ │ ├── hooks/ # Custom React hooks
│ │ ├── layouts/ # Page layout components
│ │ ├── lib/ # Utility functions and configuration
│ │ ├── pages/ # Page components
│ │ ├── App.tsx # Main application component
│ │ └── main.tsx # Entry point for the React application
├── scripts/ # Python scripts for data integration
├── server/ # Backend Express application
│ ├── services/ # Service modules for external APIs
│ ├── auth.ts # Authentication setup
│ ├── db.ts # Database configuration
│ ├── index.ts # Main server entry point
│ ├── routes.ts # API routes
│ ├── storage.ts # Data storage interface
│ └── vite.ts # Vite server configuration
├── shared/ # Shared code between client and server
│ └── schema.ts # Database schema and types
└── vercel.json # Vercel deployment configuration
Features in Detail
Market Analysis
The platform provides comprehensive market analysis based on real-time data from multiple sources, including stock market information, industry trends, and economic indicators.
Competitor Intelligence
Track and analyze competitors with detailed profiles, market positioning, growth trends, and recent activities. This helps entrepreneurs understand the competitive landscape and identify potential advantages.
Opportunity Detection
Using AI and trend analysis, the platform identifies potential business opportunities based on market gaps, growing search interest, and emerging consumer demands.
Forecasting
Advanced time-series forecasting using ARIMA and linear regression models helps predict future market trends and demand patterns with increased accuracy.
Data Integrations
Seamlessly integrates with multiple data sources to provide a comprehensive view of market conditions without requiring manual data collection or analysis.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- Alpha Vantage API for financial market data
- Financial Modeling Prep for company financial data
- Finnhub for real-time market updates
- Yahoo Finance for stock market data
- Google Trends for search interest data
- OpenRouter and Perplexity for AI-powered insights
Owner
- Name: Faisal Hakimi
- Login: Faisalhakimi22
- Kind: user
- Location: Pakistan
- Website: https://medium.com/@faisalh5556
- Repositories: 1
- Profile: https://github.com/Faisalhakimi22
Computer Science | Aspiring Data Analyst | Ai Enthusiast | Machine Learning
GitHub Events
Total
- Push event: 195
- Create event: 2
Last Year
- Push event: 195
- Create event: 2
Dependencies
- 655 dependencies
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