Founder of MandirGo and NexSolve. Building AI-powered products and solving real-world problems through technology. I'm a Final-Year Computer Engineering student who enjoys building AI-powered products and solving real-world problems through technology. My interests lie in Artificial Intelligence, Machine Learning, and Software Engineering, and I'm always exploring new ideas, learning new technologies, and turning them into practical solutions that can make a meaningful impact.
Overview: AI-powered smart temple crowd management platform designed to enhance pilgrim experience, safety, and operational efficiency through real-time analytics and predictive intelligence.
Key Features:
- Real-time crowd density monitoring using CCTV feeds
- Footfall prediction with Machine Learning models
- Smart Darshan booking and visitor management
- Emergency alert and incident detection system
- Live crowd status updates and notifications
- Centralized admin dashboard for monitoring and decision-making
Tech Stack: Python, OpenCV, Machine Learning, React, Supabase, JavaScript, Tailwind CSS
Impact: Developed to address crowd management challenges in high-footfall religious places by providing real-time insights, predictive analytics, and improved safety measures for pilgrims and temple authorities.
Repository: https://github.com/tanmayyenpure/MandirGo
Live Demo: https://www.mandirgo.com
Overview: AI Automation Studio focused on building intelligent solutions that solve real-world problems through automation, AI, and modern software engineering.
Key Features:
- AI Automation Solutions
- Machine Learning Models
- AI Agents & Intelligent Systems
- Full-Stack Web Development
- SEO & Digital Marketing
- Real-World Problem Solving
Tech Stack: Python, React, JavaScript, AI/ML, FastAPI, Node.js, Supabase
Impact: Built to transform complex challenges into scalable digital solutions by combining Artificial Intelligence, automation, and modern engineering practices.
Repository: https://github.com/tanmayyenpure/NexSolve
Live Demo: https://nexsolve-ai.netlify.app
Overview: Healthcare automation platform developed in collaboration with Love Care Share Foundation to automate the collection, processing, and synchronization of real-time blood availability data from the eRaktKosh portal.
Key Features:
- Automated blood inventory data collection
- Real-time blood availability tracking
- Google Sheets synchronization
- Data validation and processing pipeline
- Scheduled and unattended execution
- Scalable healthcare automation workflow
Tech Stack: Node.js, JavaScript, Playwright, Google Sheets API, OAuth 2.0, Git, GitHub
Impact: Eliminates repetitive manual data collection by transforming blood bank information into structured, continuously updated datasets, improving data accessibility and operational efficiency for healthcare initiatives.
Repository: https://github.com/tanmayyenpure/BloodSync