Aspiring CS Graduate

Abhradeep Basu  • Peerlist

An autonomous rover to detect rusting and corrosion in large oil and gas pipelines. Equipped with camera and thermal imaging, it utilizes image processing algorithms using Python and OpenCV, to detect anomalies and thus prevent major disasters.

Corrosion Detection Rover

Users buy and sell potted plants online, using React, HTML, CSS, and MySQL

E-plant website

•	A web platform developed for Smart India Hackathon 2025 to streamline disaster relief efforts. •	Features real-time alerts, efficient resource management, and a volunteer network to connect NGOs, volunteers, and people in need. •	Built with a modern tech stack to ensure scalability and reliability during critical situations.

Heimdall - AI-Powered Disaster Relief Platfor

To gain knowledge about energy usage and the efficiency of household smart appliances, using ReactJS, HTML, and CSS to build an interactive interface.

Home Automation Tracker website

Developed as part of Smart India Hackathon 2024, this project features a semi-autonomous rover designed to optimize irrigation practices in large-scale agriculture. By integrating IoT, machine learning, and smart hardware, the rover enhances water usage efficiency, improves crop yield, and reduces labor costs. Key features include: IoT Integration: Remote control and monitoring using the Blynk platform. Smart Analysis: Machine learning-based soil moisture analysis using historical data. User-Friendly Interface: Built with HTML, PHP, and CSS for seamless control and alerts. Sustainability Focus: Ensures compatibility with existing systems and compliance with environmental standards. This project demonstrates a scalable and sustainable approach to precision farming, aligning with the future of agri-tech innovation.

HydroNex - Semi-Autonomous Rover for Smart Ir

Used for providing IPO-related information developed during my internship, using HTML, CSS, JavaScript, Django, Bootstrap 5, and PostgreSQL

IPO Web application and REST API

Helps users track their daily mood by providing a simple mood scale and a text description input, using React Native, TypeScript, Expo, Node.js, ChatGPT API, and AsyncStorage

Mood-tracking Android app

It has a mechanical arm with a changeable end effector that is used for rescue operations during natural disasters. This rover uses the ESP32 and ESP8266, as well as servo motors and seven different sensors. A built-in camera module is used for identifying humans in distress, as well as their health conditions, through integrated machine learning using OpenCV, YOLOv8, and Python.