Build & Launch “Book With AI” – AI-Powered Travel Booking Platform (Frontend + Backend) -- 2

Job ID: 40245869

Budget: ₹37,500 – ₹75,000 INR

We are building Book With AI, an AI-powered travel assistant that helps users discover, compare, and book flights (initial focus), with future expansion into hotels, cruises, and car rentals.

The product is designed as a clean, minimal, AI-first platform (ChatGPT-like UX), where users interact naturally with an AI agent to receive intelligent travel recommendations, price alerts, itineraries, and insights.

This is a serious product with a long-term vision, not a quick demo. We are looking for a strong, experienced development team to take this from concept to a production-ready MVP and beyond.

What’s Already Defined:

Clear product vision & roadmap

UI/UX direction (modern, neutral, premium – similar to ChatGPT / Notion)

Feature scope defined

API direction identified (Amadeus or equivalent)



Core Product Concept:

Users search flights using:

Natural language (AI chat)

Traditional flight search (one-way, round-trip, multi-city)

Backend fetches real-time flight data via APIs

AI analyzes and ranks results based on:

Price trends

User preferences & behavior

Travel patterns

Best options are shown with a clean, intuitive UI

Users are redirected via deep links to airline / OTA checkout

No payment processing on our platform

Technology Stack (Preferred / Discussed):
Frontend (User + Admin)

Next.js (React)

TypeScript

Tailwind CSS

SEO-friendly, fast, responsive UI

Mobile-first, cross-browser compatible

Smooth UX (loading states, transitions, error handling)



Backend:

Django + Django REST Framework

(FastAPI acceptable if strongly justified)

PostgreSQL

Redis (caching, sessions, rate limiting)

Celery (background jobs, API refresh, AI tasks)

JWT-based authentication

Secure API handling (no exposed keys)



AI Integration (Phase 1 – MVP):

AI will be used to:

Understand natural language travel queries

Convert them into structured flight searches

Rank and recommend results intelligently

Respond in a conversational, user-friendly format

No complex custom model training required initially — smart orchestration & prompt design is sufficient, but architecture must be extensible for future upgrades.



Admin Panel (Critical Requirement):

A robust admin dashboard with multiple user roles and permissions:

User Types

Super Admin

Full system access (AI logic, APIs, analytics, users)

Admin

Manage users, settings, APIs, content

Analyst

View AI performance, search trends, analytics

Support / Ops

Limited access (users, sessions, logs)

Admin Features

User analytics (location, sessions, preferences)

Flight search & booking funnel insights

API usage monitoring (requests, failures, latency)

AI decision insights (why results were ranked)

Role-based access control (RBAC)

Logs & audit trails

Core MVP Features:

AI-based flight search

Clean search results UI

Price alerts (basic)

Saved trips / favorites

User authentication (basic)

Admin-configurable API keys & system settings

Scalable architecture (MVP → high traffic growth)

Non-Functional Requirements:

Clean, well-documented code

Scalable, production-ready architecture

Security best practices

Performance-optimized APIs

Deployment-ready (cloud-friendly)



Who We’re Looking For: -

A professional development team (not beginners)

Strong experience in:

API-heavy platforms

Travel APIs (Amadeus, Skyscanner, etc.)

AI / LLM integrations

Admin dashboards & analytics

Clear communication & structured delivery

Ability to suggest improvements, not just execute blindly


Deliverables:

Fully working production-ready MVP

Clean, maintainable codebase

API documentation

Deployment & setup documentation

Proper handover for future iterations


Timeline & Engagement:

MVP target: 6–10 weeks

Milestone-based delivery with weekly updates

Budget flexible for the right team

NDA required

This is not a one-off project.
If the MVP is successful, there will be long-term development, feature expansion, and scaling work.


How to Apply:

Please include:

Relevant past projects (AI, dashboards, travel platforms preferred)

Suggested system architecture

Team size & roles

Timeline & milestone plan

Fixed-price or milestone-based estimate