I’m building a production-ready platform that lets professional travel agents deliver smarter, faster service to their clients. The core of the product is an AI layer that does two things exceptionally well: • surfaces the very best lodging and airfare deals through real-time price tracking and cross-platform comparison, and • assembles fully personalised itineraries that include curated local attractions and an hour-by-hour daily schedule. Here’s what I need from you: Architecture & Data – Connect to major GDS and OTA APIs (Amadeus, Skyscanner, Booking.com, etc.) and stream prices continuously. – Design a pipeline that normalises the data and feeds an ML model for deal scoring. – Implement efficient caching so agents always see fresh yet lightning-fast results. Deal Intelligence – Train or fine-tune a model (Python, scikit-learn/TensorFlow acceptable) that flags outlier bargains in real time and ranks them by savings, convenience and agent-defined preferences. – Expose this logic through a clean REST/GraphQL endpoint the front-end can hit on demand. Itinerary Engine – Given destination, dates and traveller profile, generate a structured day-by-day plan filled with top-rated attractions and events, then let the agent tweak it via simple drag-and-drop. – Respect opening hours, travel time and user constraints to keep schedules realistic. Front-End – A responsive dashboard (React or Vue) where agents search, view deals and export itineraries to PDF, email or a white-label client portal. – Real-time alerts pop up whenever a tracked flight or hotel drops in price. Security & DevOps – OAuth-based access control; role separation for admins vs. agents. – CI/CD to deploy on AWS or GCP; please specify your preferred stack. Deliverables 1. Source code with clear documentation. 2. Deployed staging environment for live testing. 3. Demo data set and walkthrough video showing deal discovery and itinerary generation in action. 4. Post-launch support for bug fixes during an agreed warranty window. Acceptance criteria will be the successful retrieval of live deal data, generation of a valid itinerary JSON for a test user, and a <2-second response time for the main search endpoint under moderate load. If you’ve built similar ML-driven travel or e-commerce tools, I’d love to see them. Let’s create the go-to platform agents rely on for unbeatable deals and unforgettable trips.