Projects using Flutter in New DelhiProjects using Flutter in New DelhiCloudWash is a modern laundry and dry-cleaning platform designed to simplify the entire garment care experience through a seamless digital solution. The project includes a responsive website, intuitive customer interface, secure user authentication, online booking, order tracking, service management, payment gateway integration, and an advanced admin panel for managing orders, customers, pricing, and operations. Built with a strong focus on performance, automation, scalability, and user experience, CloudWash enables customers to schedule pickups, track orders in real time, and enjoy a convenient, hassle-free laundry service while helping businesses efficiently manage daily operations.
Skills Used
UI/UX Design
Website Design
Frontend Development
Backend Development
Admin Panel Development
Customer Dashboard
Order Management System
Pickup & Delivery Management
Payment Gateway Integration
User Authentication
API Development & Integration
Database Design
Responsive Web Design
Performance Optimization
Security Implementation
Cloud Deployment
Business Automation
SEO Optimization ✈️ AI Aviation Platform
Developed an AI aviation mobile platform that unifies real-time flight tracking, predictive analytics, and flight booking into a single ecosystem. The goal was to streamline air travel management by improving accuracy, speed, and decision-making across the entire journey.
Problem Statement
Users today rely on multiple disconnected tools: one app for flight tracking, another for booking, and separate sources for delays, weather, and gate updates. This fragmentation leads to delayed or inconsistent flight information, inefficient planning, and a lack of intelligent guidance when booking flights.
Solution
Built a unified aviation platform that consolidates live flight tracking, AI-based predictions, and flight search/booking into one intelligent system. The platform serves as a real-time travel assistant, offering end-to-end visibility from booking to arrival.
Core Features
- Real-time global flight tracking with interactive map
- AI delay prediction using weather, route, and historical data
- Flight search with price comparison and smart recommendations
- Live alerts for delays, gate changes, cancellations, and price drops
- Airport insights including congestion levels and reliability scores
- Personalized dashboard with trip history and upcoming travel timeline
Challenges
Handled high-frequency real-time flight data efficiently, ensured consistency across multiple aviation providers, improved prediction accuracy despite incomplete datasets, and managed complex airline API integrations with varying reliability.
Key Learnings
Real-time systems require strong caching and streaming strategies. Combining weather, historical, and live data significantly improves prediction quality. UX clarity is essential when presenting dense aviation information. External API reliability directly impacts system stability. 
