Personal portfolio website.just scroll down. You're here only!

The GDG On Campus ABESIT website is a dynamic community platform designed and developed using TypeScript and JavaScript. This website serves as the digital hub for the Google Developer Group (GDG) on campus, showcasing upcoming events, resources, and community initiatives. With an intuitive user interface and seamless navigation, the website ensures an engaging experience for visitors while fostering collaboration and knowledge sharing among students and tech enthusiasts.

This project focuses on developing a user-friendly tool for on-device semantic segmentation of WMS services using GPU/NPU acceleration to enhance performance and reduce server load. Key features include AI-driven adaptive segmentation, a crowdsourced map update portal, and geospatial data export capabilities. The platform integrates advanced technologies like voice assistance, hybrid segmentation, and multi-modal interactions for enhanced user experience.

Hacknovate 6.0 is a flagship event of ABES Institute of Technology, Ghaziabad. Where I have designed and developed the official website for there flagship event 6th edition.

Wasted Guard is a dumping site management system that connects citizens with municipal services through a unique complaint box feature, allowing users to report illegal dumping via geotagged images. It provides real-time bin collection schedules, van tracking, and effective complaint management. Machine learning models verify report validity, enhancing service response and efficiency.

Flow-tech Repairs, the winning project of SIH'23 under the Ministry of Jal Shakti, offers a digital solution to address Non-Revenue Water (NRW) management. The platform features a complaint box connecting citizens with organizers to report and track pipeline leaks, supported by ML algorithms for accurate leakage detection using the Hazen-Williams equation. Integrated mapping displays affected regions, optimizing response and repair efficiency.

This project provides a smart solution for adaptive agricultural practices by managing water resources through real-time IoT data, AI-based risk prediction, and pipeline leakage detection. It integrates a user complaint box to report water issues and offers crop recommendations based on soil types, optimizing resource allocation and productivity.