Portfolio | My Work

My Work

Portfolio

Professional client projects and academic research work. Built for performance and real results.

Professional Projects

🌐
Live
Export Company Website
Multi-language WordPress site with Elementor, WooCommerce catalogue, contact forms, and full SEO. PageSpeed 91.
WordPressElementorWooCommerceSEO
🍽
Live
Restaurant Booking Site
WordPress site with custom booking plugin, dynamic menu gallery, and Google Maps. Mobile-first, 95+ PageSpeed.
WordPressPHPCustom Plugin
🛒
Live
Fashion WooCommerce Store
Full WooCommerce store with custom product filters, Stripe & Razorpay payments, wishlist, and inventory management.
WooCommerceStripeRazorpay
🚚
React Native
Delivery Tracking App
Real-time GPS tracking for logistics. Firebase backend, push notifications, driver app + customer app + admin dashboard.
React NativeFirebaseMaps API
🏩
Flutter
E-commerce Shopping App
Flutter app with WooCommerce backend, cart, wishlist, Stripe payments, order tracking. Published on Play Store.
FlutterDartWooCommerce API
📅
Flutter
Appointment Booking App
Multi-service booking app for clinic. Calendar, SMS reminders, Flutter frontend, Firebase backend, web admin panel.
FlutterFirebaseTwilio SMS

Academic Projects

AI Research
🚗
AI IntegratedAcademic
AI-Integrated Rental Car Management System
A smart car rental platform that uses AI to automate booking recommendations, dynamic pricing, fleet optimization, and demand forecasting. Reduces manual overhead by 60% and improves fleet utilization through machine learning models trained on historical rental data.
Key Features
AI-powered booking recommendation engine
Dynamic pricing based on demand & availability
Automated fleet maintenance scheduling
Customer behaviour analysis dashboard
PythonMachine LearningMySQLFlaskTensorFlow
📷
AI BasedAcademic
AI-Based Image Retrieval System
A content-based image retrieval (CBIR) system using deep learning and computer vision to find visually similar images from large datasets. Uses CNN feature extraction and similarity matching, achieving 92%+ retrieval accuracy on benchmark datasets.
Key Features
CNN-based visual feature extraction
Cosine similarity & KNN-based image matching
Web interface with drag-and-drop image upload
92%+ retrieval accuracy on benchmark sets
PythonTensorFlowOpenCVNumPyFlask

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