Real-Time Crowd Intelligence β’ Smart Darshan Booking β’ Intelligent Temple Operations
Building safer, smarter, and seamless pilgrimage experiences through Artificial Intelligence.
MandirGo is an AI-Based Smart Temple & Pilgrimage Management Platform designed to modernize temple operations through Computer Vision, Machine Learning, and real-time analytics.
The platform empowers temple administrations to intelligently monitor crowd density, optimize visitor flow, automate darshan bookings, publish live announcements, and deliver a safer, smarter, and more connected pilgrimage experience.
By integrating Artificial Intelligence with modern software architecture, MandirGo enhances public safety, operational efficiency, and decision-making while preserving the spiritual essence of every pilgrimage.
Every year, millions of devotees visit temples across India, creating operational challenges for temple administrations and safety concerns for visitors.
Traditional management systems often struggle with:
- Long waiting queues
- Overcrowding during peak hours
- Limited real-time crowd visibility
- Manual administrative processes
- Delayed communication with devotees
- Lack of predictive crowd planning
MandirGo addresses these challenges by combining Artificial Intelligence, Computer Vision, and intelligent analytics into a unified digital platform that enables data-driven temple management and a seamless pilgrimage experience.
- Real-time crowd detection and density analysis using CCTV
- Intelligent Computer Vision monitoring
- Continuous occupancy analytics
- Live crowd status updates for devotees
- Real-time congestion monitoring
- Better visit planning and reduced waiting time
- Footfall prediction using Machine Learning
- Historical trend analysis
- Smart crowd forecasting for temple administrations
- Intelligent online darshan booking system
- Optimized visitor scheduling
- Reduced queue management challenges
- Festival announcements
- Live event notifications
- Instant communication with devotees
- AI-assisted emergency alerts
- Intelligent fall detection
- Rapid response support for temple authorities
- Live crowd monitoring
- Smart booking management
- Event administration
- Operational analytics and insights
- Centralized monitoring and control
Devotees
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βΌ
React + Parcel Frontend
β
REST API Calls
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βΌ
FastAPI Backend Server
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βββββββββββββββββββββββΌββββββββββββββββββββββ
βΌ βΌ
YOLOv8 Crowd Detection Supabase Database
β β
βββββββββββββββββββββββ¬ββββββββββββββββββββββ
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Machine Learning Prediction Engine
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Smart Temple & Pilgrimage Management Platform
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Live Crowd Status β’ Smart Booking β’ Emergency Alerts
| Category | Technology |
|---|---|
| Frontend | React + Parcel |
| Backend | FastAPI |
| Programming Language | Python + JavaScript |
| Artificial Intelligence | YOLOv8 |
| Machine Learning | Scikit-learn |
| Computer Vision | OpenCV + YOLOv8 |
| Database | Supabase |
| Authentication | Supabase Auth |
| API | REST API |
| Styling | CSS |
| Version Control | Git & GitHub |
| Deployment | Netlify |
MandirGo/
βββ assets/
β βββ mandirgo-logo.jpeg
β
βββ backend/
β βββ server.py
β βββ requirements.txt
β βββ models/
β βββ videos/
β βββ README.md
β
βββ frontend/
β βββ src/
β β βββ assets/
β β βββ components/
β β βββ pages/
β β βββ utils/
β β βββ legacy/
β β βββ App.jsx
β β βββ index.jsx
β β
β βββ package.json
β βββ .gitignore
β
βββ LICENSE
βββ README.md
βββ .gitignore
git clone https://github.com/Tanyyy-27/MandirGo.git
cd MandirGoNavigate to the backend directory
cd backendCreate a virtual environment
python -m venv venvActivate the virtual environment
venv\Scripts\activatesource venv/bin/activateInstall the required dependencies
pip install -r requirements.txtStart the FastAPI server
uvicorn server:app --reload --host 127.0.0.1 --port 8000Backend will be available at
http://127.0.0.1:8000
Navigate to the frontend directory
cd frontendInstall project dependencies
npm installStart the development server
npm startor
npm run devCreate a production build
npm run buildThe frontend will be available at
http://localhost:1234
(or the URL generated by Parcel)
Monitor crowd density through CCTV feeds using AI-Based Computer Vision and receive instant occupancy insights.
Forecast visitor traffic using Machine Learning models to improve planning, volunteer allocation, and resource management.
Enable devotees to book darshan slots digitally, reducing waiting time and improving overall crowd distribution.
Deliver live announcements, event updates, and important notifications directly to devotees in real time.
Strengthen temple safety with emergency alerts and AI-assisted fall detection for faster response during high-footfall events.
Manage crowd monitoring, bookings, announcements, events, and operational insights from a unified administration dashboard.
Monitor temple crowd density in real time through CCTV feeds using Computer Vision, enabling temple administrations to make faster, smarter, and data-driven decisions.
Leverage Machine Learning models to forecast visitor trends, optimize resource allocation, improve volunteer management, and prepare for peak pilgrimage periods.
Digitize the darshan process with an intelligent booking system that minimizes waiting time, optimizes visitor flow, and enhances the overall devotee experience.
Provide devotees with instant announcements, festival updates, event notifications, and important alerts through a unified digital platform.
Enhance temple safety through AI-assisted emergency alerts and fall detection, enabling rapid response during festivals and high-footfall situations.
Empower temple authorities with a comprehensive dashboard for crowd monitoring, booking management, event administration, operational insights, and real-time decision making.
This project demonstrates practical experience in:
- Artificial Intelligence
- Machine Learning
- Computer Vision
- YOLOv8 Object Detection
- FastAPI Development
- React Application Development
- REST API Design
- Real-Time Analytics
- Smart Infrastructure Systems
- Scalable Software Engineering
- Advanced crowd prediction models
- Predictive footfall intelligence
- AI-driven operational analytics
- Smart resource optimization
- Multi-temple management platform
- Volunteer management system
- Digital donations & seva integration
- Smart parking management
- Native Android & iOS applications
- AI-powered virtual assistant
- Personalized devotee notifications
- Live navigation and guidance
- IoT device integration
- Edge AI deployment
- Real-time monitoring dashboards
- Advanced emergency response automation
Contributions, ideas, and improvements are always welcome.
-
Fork the repository
-
Create a feature branch
git checkout -b feature/new-feature- Commit your changes
git commit -m "feat: add new feature"- Push your branch
git push origin feature/new-feature- Open a Pull Request
This project is licensed under the MIT License.
Tanmay Yenpure
Building AI-Based Smart Infrastructure for the Future of Pilgrimage Management.
π Website
https://mandirgo.com
π· Instagram
https://www.instagram.com/mandirgo_official?igsh=MTRpeTB0NXZrMWo3dg==
π GitHub
https://github.com/Tanyyy-27