Contact person: Business Client

Phone:Show

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Location: Pomona, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m building an AI-powered web platform that creates day-by-day travel itineraries for any city in the world. The core feature is an intelligent itinerary generator that tailors each plan to:
• the user’s chosen city and trip length
• stated interests and personal preferences

Scope of work
1. Architecture & Back-End
– Design a scalable back-end that calls the AI model for itinerary creation.
– Store user sessions and itinerary data in a lightweight database (PostgreSQL, MongoDB, or comparable).
– Integrate third-party data (maps, points of interest, weather) to enrich results.

2. Itinerary Generation Logic
– Build prompt engineering or custom ML logic that converts the above inputs into structured, daily plans.
– Ensure output includes sights, dining options, transit hints, and timing suggestions in clear JSON or HTML blocks ready for front-end rendering.

3. Front-End Experience
– Implement a responsive, professional and sleek UI that matches modern SaaS standards.
– React, Vue, or [login to view URL] are preferred, but I’m open if you can justify another stack.
– Provide smooth forms for city, dates, interests input; display results with map snippets and expandable day cards.

4. Deployment & Handoff
– Containerize the app (Docker) and deploy it to a cloud host (AWS, GCP, or Render).
– Set up CI/CD so pushes to main automatically update staging.
– Deliver clean, documented code plus a short “getting-started” guide for future contributors.

Acceptance criteria
• User can enter city, trip length, interests → receives a multi-day itinerary in under 15 seconds.
• UI renders flawlessly on desktop and mobile.
• All secrets and API keys stored safely in environment variables.
• Basic analytics hooks in place (e.g., Google Analytics or Plausible).

Please outline your chosen tech stack, any relevant AI frameworks or APIs, and an estimated timeline for a first functional release." (client-provided description)