Hi, my name is Manjesh Kumar Yadav
I'm AI/ML engineer.

The Sports Person Image Classification System is a Python and Flask-based machine learning application that identifies athletes from images using algorithms like SVM and Random Forest. It features advanced preprocessing with OpenCV and wavelet transforms, enabling accurate, real-time predictions with confidence scores. This project highlights my ability to build end-to-end AI systems with practical applications in sports analytics and digital content management.

Engineered and launched a production-grade eCommerce platform using Django, designed to handle active user traffic efficiently. Enhanced interactivity through HTMX-powered dynamic in-page updates and implemented secure, seamless payment workflows via Stripe integration. The platform was containerized with Docker and deployed using Nginx, while Celery and Redis were employed to manage asynchronous operations such as order confirmation dispatches and real-time payment event handling.

The Online Fire Reporting System is a web-based platform designed for fast and efficient fire incident management. It enables users to report fire accidents instantly through a simple interface, providing real-time updates on response status and team assignments. Administrators can manage teams, track incident history, and optimize resource use from a centralized dashboard. Developed using PHP, HTML, CSS, JavaScript, and MySQL, the system ensures scalability, usability, and transparency—enhancing public safety and emergency coordination.