✦ Live in Production
2026
🚖
Minicab Booking System (Fullstack Project)
Problem: Traditional minicab booking processes are often slow, manual, and lack real-time pricing or structured data management. Customers struggle with unclear pricing, limited vehicle options, and no streamlined booking experience.
A full-stack airport transfer booking platform that allows users to search vehicles, enter trip and passenger details, and complete bookings with automated email confirmation. The system is built using a REST API with Node.js and Express, a MySQL database managed through Sequelize ORM, and a responsive frontend built with HTML, CSS, and JavaScript.
Node.jsExpress.jsMySQLSequelizeHTMLCSSJavaScript
Impact
Improved booking efficiency by automating the entire reservation flow, from vehicle selection to confirmation, while providing a structured and scalable backend system for managing real-world transport operations.
✦ Live in Production
2025
📦
Inventory & Sales Tracking System
Problem: A growing retail startup had no centralized way to track stock across 10+ outlets, leading to manual errors and zero operational visibility.
Designed and deployed a fully operational inventory and sales management system using Excel & Google Sheets. Implemented automated dashboards, pivot reports, and invoice generation — now actively used in a live business environment.
ExcelGoogle SheetsAutomationDashboards
Impact
~40% reduction in admin processing time · 5+ retail outlets served
Ambulance Routing Optimization
Problem: Emergency response units lack real-time intelligence to route to the nearest CT-ready hospital, costing critical minutes.
Graduation project awarded 100/100. Built a real-time mobile system using ML algorithms to route ambulances to the optimal CT-ready hospital. Integrated Firebase for live data sync across the mobile app and hospital backend.
FlutterFirebaseMachine LearningHTML/CSS
Recognition
Score: 100/100 · IEEE Publication · Aug 2024
Skin Burn Detection App
Problem: First responders and patients in remote areas need quick, accessible burn severity assessment without a clinician.
Developed a Flutter mobile app that captures a wound photo, sends it to an ML classification API, and returns burn severity assessment (1st/2nd/3rd degree) with actionable guidance to the user.
FlutterDartML APIREST API
Use Case
Remote triage aid · AI-powered severity classification
Airline Reservation System
Problem: Airline booking processes can become inefficient and error-prone without a centralized system for managing flights, reservations, and user authentication.
Developed a system that: Manages flight listings and schedules, Handles passenger reservations and booking records, Tracks seat availability dynamically, Organizes customer and booking data in a structured way.
JavaScriptHTML/CSSLocalStorageSQL
Scope
Full-stack · SQL · LocalHost
Online Pharmacy Website with Chatbot
Problem: Users often face difficulty when: Searching for the right medication online Getting quick answers to basic health or product questions Navigating complex pharmacy platforms
Full-stack web app for medication search, user inquiries, and order management. Includes user authentication, product recommendations, SQL relational database for inventory/orders, and a responsive frontend.
JavaSQLJavaScriptHTML/CSSChatbot IntegrationPHP
Scope
Full-stack · Responsive UI · Chatbot
Dysarthria Detection System
Problem: Users often face difficulty when: Speaking clearly and being understood by others Receiving timely feedback on their speech progress Accessing personalized exercises and resources
A system designed to detect Dysarthria (a speech disorder) by analyzing speech patterns using machine learning techniques. The system provides real-time feedback and personalized exercises to help users improve their speech clarity and confidence.
PythonMachine LearningSpeech Recognition
Scope
Machine Learning · Python · Speech Analysis
Clinical Health Informatics Desktop App
Problem: Healthcare data is often: Scattered across systems, Difficult to manage manually, Prone to errors in recording and retrieval.
A desktop application designed to manage and organize clinical and patient-related data in a structured and efficient way. The application provides healthcare professionals with tools to input, store, and analyze patient information, medical records, and clinical data to support informed decision-making and improve patient care.
PythonC#.NET Framework
Scope
C# · Visual Studio · Clinical Data Management
