Title: Build AI-Powered Flight Search Platform – FlightGPT.ai Description: I am looking for a highly skilled AI engineer and full-stack developer to build a web-based flight search platform called FlightGPT.ai. This platform should allow users to type natural-language flight requests and return the top flights that exactly match all specified criteria. Project Requirements: Core Features: 1. Natural Language Flight Queries • Users can type queries like: “Find me a direct flight from London Luton, Birmingham, or East Midlands to Bangkok any time between June and August for 3 people, economy class including baggage, leaving around 9am, excluding Emirates.” • The AI should parse all details including: airports, dates, airline preferences/exclusions, baggage, seat class, number of passengers, and departure times. 2. Flight Search & Filtering • Integrate with a flight data API (Skyscanner, Kiwi, Amadeus, or similar). • Search multiple airports and airlines simultaneously. • Apply filters based on parsed AI criteria. 3. Results Ranking • Display top N flights (e.g., top 5–10 cheapest or most suitable). • Include price, airline, departure & arrival times, duration, direct/layover, baggage allowance, and booking link. 4. Multi-Airport Support • Allow queries specifying multiple departure airports and return flights from any combination. 5. Custom Exclusions • Support excluding specific airlines, airports, or times. 6. Responsive Web Interface • Desktop and mobile-friendly. • Chat interface for input and results display with sorting/filtering options. 7. Optional Booking Flow • Redirect users to airline or OTA booking pages. • Affiliate link support is a plus. ⸻ Technical Requirements: • AI/NLP Layer: LLM integration (OpenAI GPT API or similar) to parse natural language queries into structured flight search parameters. • Backend: Orchestrates AI query → flight API search → filtering → results; handles caching, logging, and scaling. • Frontend: React / Next.js for chat UI and results display; intuitive, responsive design. • Cloud Hosting: AWS, GCP, or DigitalOcean; SSL, database (Postgres/MySQL), and scalable infrastructure. • Flight API Integration: Experience with Skyscanner, Kiwi, Amadeus, or equivalent. ⸻ Deliverables: • Fully functional web app with AI-powered flight search chat interface. • Documentation for running and maintaining the platform. • Deployment on cloud hosting with SSL and domain setup. ⸻ Preferred Freelancer Skills: • AI/NLP development with LLMs. • Full-stack web development (React, Next.js, Node.js, Python/Django/Flask). • API integration (flight data APIs). • Experience with travel, booking platforms, or similar search engines. • Cloud deployment and scalable architecture experience. ⸻ Timeline: • MVP ready within 4–6 weeks. • Production-ready version negotiable based on project scope. ⸻ Budget: • Please provide your estimated cost for MVP and full production version separately. ⸻ Additional Notes: • Please provide examples of similar AI or flight search projects you have completed. • Only freelancers with experience in AI and flight API integration will be considered.