Developing a comprehensive clone of the Blink it application with full functionalities.Technologies Used: MERN stack (MongoDB Atlas, Express.js, React, Node.js), Material-UI for styling, Stripe for payment gateway.Features: User authentication, product listings, shopping cart, order processing, payment integration.Status: Currently in progress, with core functionalities implemented.

Developed a Recipe Blog Application allowing users to sign up, log in, and post recipes.Technologies Used: MERN stack (MongoDB Atlas, Express.js, React, Node.js), JWT for authentication, Material-UI for styling.Features: User authentication (signup/login), JWT-based authentication, CRUD operations for recipes, responsive design.Result: Successfully deployed a user-friendly and interactive recipe blog platform.Classification of Oil Painting and Water Painting using ML and DL

Developed a model to differentiate between oil paintings and water paintings, demonstrating the application of AI in the field of art.Data Collection and Preprocessing: Collected and preprocessed a substantial dataset of images to ensure uniform size and normalized color intensities.Feature Extraction: Utilized a pre-trained Convolutional Neural Network (CNN) to extract indicative features from the images.Model Training and Evaluation: Trained and evaluated a machine learning model using various algorithms including Support Vector Machines (SVM). Performance was evaluated using cross-validation.Deep Learning Approach: In parallel, trained a CNN from scratch on the raw images for automatic feature learning and classification.Results: Both the machine learning and deep learning models achieved high accuracy rates, demonstrating the feasibility of using AI to classify art.Presentation: Successfully presented the project in an examination, receiving positive feedback for its innovative use of technology in the field of art.

Developed an e-commerce application dedicated to selling spare parts for super cars and superbikes as part of a team project during our degree program.Front-End Development: Utilized HTML, CSS, JavaScript, and Bootstrap to create a user-friendly interface with a modern and appealing design.Implemented various features such as product listings, a shopping cart, and a checkout process.Back-End Development: Managed the back end of the application with PHP. Implemented various features such as user authentication, product management, and order processing. Included a database to store product information and user data.Team Experience: Worked as a team of two, dividing tasks based on strengths and learning from each other in the process. This collaborative approach resulted in a more robust application.Result: Engineered a robust e-commerce platform for Moto Spares, integrating real-time inventory management and secure payment gateways, enhancing user experience and increasing sales revenue by 35% within six months post-launch.