Projects & Presentations

Enchanted Eden – Smart Plant Nursery Web Application

Tech Stack: HTML, CSS, JavaScript, Python (Django), Bootstrap, PostgreSQL, AI, ML, APIs

Summary: An AI-powered platform that combines e-commerce with personalized plant care. Features include plant disease detection, AI chatbot, solar radiation forecasting, virtual garden planning, image-based search, expert webinars, real-time delivery tracking, voice search, and text-to-speech support.

Achievement Badge: 🏆 Best Department Project – March 2025

BorderXpress – State Border Crossing System

Tech Stack: Java, MySQL

Summary: A secure system for recording and monitoring vehicles crossing state borders, designed to ensure proper documentation and streamline border check procedures.

Typing Challenge – Command Line Typing Game

Tech Stack: C

Summary: A console-based typing game that challenges users to type randomly displayed words quickly and accurately within a time limit, aimed at improving typing speed and accuracy.

B2B Bidding System – Agricultural Product Bidding Platform

Tech Stack: HTML, CSS, Bootstrap, Python (Django), MySQL

Summary: A business-to-business online platform that connects farmers and sellers with buyers for agricultural products. Includes listing, bidding, and purchasing features.

Restaurant Management System – Food Ordering & Reservation

Tech Stack: PHP, MySQL

Summary: A web-based system for browsing menus, placing food orders, and reserving tables, aimed at improving the customer experience and streamlining restaurant operations.

Hybrid Machine Learning Model for Solar Radiation Forecasting and Plant Care Optimization 

Presented At: National Conference on Emerging Computer Applications (NCECA 2025)

Organized By: Amal Jyothi College of Engineering, in association with ACM and ISTE

Tech Stack / Approach: Convolutional Neural Networks (CNN), CatBoost, AI/ML

Summary:
Developed and presented a hybrid machine learning model combining CNN and CatBoost to provide highly accurate solar radiation forecasting and intelligent plant care optimization. The model integrates data-driven decision-making to support plant growth recommendations based on solar input.

Achievement: Research Paper Presentation at NCECA 2025