2024
AgroTrade
Developed the frontend interface for a digital marketplace connecting farmers directly with buyers. Designed user-friendly web pages to help farmers and buyers easily access product information and market-related details. Focused on creating a clear, responsive, and easy-to-navigate interface to improve the overall user experience.
HTML, CSS, JavaScript, PHP, MySQL
2025
Aapadamitra
Researched key areas of disaster management systems, including existing solutions, devices, and their limitations, to identify possible improvements. Analyzed existing approaches and system requirements to support the design of an effective disaster management solution. Designed and developed the frontend for multiple application screens focused on disaster information and emergency features.
React.js, React Native, Node.js, Express.js, MongoDB, Python, Scikit-learn, OpenStreetMap API
2025
Terrace Gardening
Developed a web application that provides users with step-by-step guidance for planting and maintaining plants. Designed and implemented user-friendly web pages to present planting procedures and essential gardening information in a structured manner. Contributed to developing an interactive and easy-to-navigate platform to help users manage terrace gardening activities.
HTML, CSS, JavaScript, PHP, MySQL
2025
Plant Health Monitoring System
Designed the user interface for an IoT-based system that monitors plant environmental conditions. Organized and presented sensor information such as soil moisture, temperature, and humidity through a clear and user-friendly interface. Focused on creating an easy-to-use interface to help users monitor plant conditions and understand the collected data.
HTML5, CSS3, JavaScript, Node.js, MySQL, TensorFlow, IoT Sensors
2026
Fake News Detection System
Developed a machine learning system using 2-class classification to identify news as real or fake. Performed data cleaning, text preprocessing, and feature preparation. Integrated the trained model with a web application to allow users to check whether news is real or fake.
Python, Pandas, NLTK, Scikit-learn, Flask, HTML, CSS
