Freelancers using Shadcn UI in DelhiFreelancers using Shadcn UI in Delhi
Full Stack Developer | AI Tool, Web App, MVP & SaaS Products
$10k+
Earned
4x
Hired
4.9
Rating
21
Followers
Full Stack Developer | AI Tool, Web App, MVP & SaaS Products
Full-Stack Developer • Design Engineer • Framer Developer
$10k+
Earned
3x
Hired
5.0
Rating
11
Followers
Full-Stack Developer • Design Engineer • Framer Developer
Versatile Fullstack Engineer | Web & Mobile Expert
$50k+
Earned
5x
Hired
5.0
Rating
90
Followers
Versatile Fullstack Engineer | Web & Mobile Expert
Building MVPs for startup founders with clean UX in a week.
1x
Hired
5.0
Rating
58
Followers
Building MVPs for startup founders with clean UX in a week.
Full Stack Developer
6
Followers
Full Stack Developer
Cover image for ✈️ AI Aviation Platform 
Developed
✈️ 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.
0
23
Full Stack & Python Developer | Web Scraping and Automation
$1k+
Earned
23x
Hired
5.0
Rating
Full Stack & Python Developer | Web Scraping and Automation
I code websites from front to back
I code websites from front to back