My Projects
A collection of my recent work and personal projects

IOT Agriculture
An Android app fetches data from a real-time database where information is posted using an ESP32 with sensors reading soil properties. It includes an ML model to recommend suitable crops for the field. Additionally, a Gemini chatbot is integrated to assist farmers with their queries.

Aromas Haven
A Full-Stack e-commerce web application using the MERN stack. Users can browse, purchase perfumes, and place orders. The platform includes an integrated admin dashboard for shop owners to manage products, orders, and user interactions.

Pet Compass
A community-driven android app tailored for pet adoption, enabling pet owners seeking to rehome their pets to post listings while prospective adopters can browse and connect with them directly, fostering meaningful pet-owner matches.

Aura- AI powered Mat
The project significantly enhances traditional yoga practices by providing personalized, real-time feedback and guidance through the integration of AI and smartwatches. This innovative approach enriches the user experience and improves health monitoring during yoga sessions, making yoga more interactive, effective, and tailored to individual needs.

Serverless To-Do App
This project demonstrates a fully serverless architecture using Flutter for the frontend and AWS services for the backend. The app allows users to manage tasks in real-time with data stored in DynamoDB, business logic handled by AWS Lambda, and secure RESTful APIs managed through API Gateway. The serverless design ensures scalability, low maintenance, and cost-efficiency.

Alegria Mobile App
I developed and deployed the official Alegria College Fest app using Flutter, available on the Play Store for Android and as a PWA for iOS and web. The app featured pass booking, social posts, event participation tracking, and an admin panel for real-time updates—showcasing my full-stack mobile development and cross-platform deployment skills.

Marks Prediction
This project is an end-to-end data science application aimed at predicting students' scores based on various demographic and educational features. The project leverages machine learning techniques and follows industry best practices, including structured folder organization, custom loggers, and custom exception handling.

Flipkart Mobile Price Dashboard
Developed an interactive dashboard to analyze phone data from Flipkart, featuring price comparison, brand popularity, and price distribution insights. Integrated visualizations like scatter plots, pie charts, and density plots, along with correlation and clustering analyses, to explore relationships and group similar products. This tool provides a clear view of price trends, market share, and brand influence, helping users make data-driven decisions.

Laksh-AI
A career guidance app designed to help users make informed career decisions and achieve their professional goals. 🚀 It offers personalized career recommendations, tailored learning roadmaps, and virtual internships to build relevant skills. Through mentorship, progress tracking, and an AI chatbot 🤖, LakshAI supports users at every step of their career journey.

Plate Palette
A user-friendly website for discovering recipes, crafted with HTML, CSS, and JavaScript, enriched with a pre-prepared API for seamless integration