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Auto Trip

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✈️ About the Project “Your AI Travel Agent” is a voice-powered mobile application that plans and books your perfect trip — all through simple spoken prompts. Whether you're organizing a quick weekend escape or an elaborate multi-city vacation, the app delivers a fully personalized itinerary that you can freely modify — and when you're ready, book your entire trip all at once with just one click. 💡

Inspiration

The idea was born out of the hassle of traditional trip planning — searching endlessly for flights, hotels, and activities, or relying on expensive travel agencies. We wanted to transform that process into a simple voice conversation. Instead of filling out forms or clicking through pages, imagine just saying, “Plan a 3-day trip from San Francisco to Vegas with a $3000 budget,” and getting a complete itinerary in seconds — that’s the future we’re building. 🛠️ How We Built It Our system is made up of several intelligent components that work together: 🎙 Vapi to capture the user’s voice, transcribe it into text, and handle all audio interactions. 🧠 Gemini (Google’s LLM) to generate a detailed, day-by-day travel itinerary based on the voice prompt. 🤖 Agentic AI / Micro-APIs to fetch real-time data — including hotel prices, flight availability, and attractions — tailored to the user’s preferences. 🧩 Backend API to coordinate all services: receiving the voice input, managing AI prompts, querying external APIs, and returning a coherent response. 📱 Mobile App Frontend to deliver both a spoken and visual summary of the trip, complete with editable options and one-tap booking. 🧠 What We Learned How to chain multiple AI systems (Vapi → Gemini → custom agents) to produce dynamic, real-world travel experiences from just a single spoken prompt. The importance of designing flexible, schema-driven prompts for consistent LLM outputs. Building a backend that is modular, fast, and capable of orchestrating several services in real-time. Handling latency and rate-limiting issues when working with multiple external APIs — especially when fetching live data. 🚧 Challenges We Faced Getting bots to fetch live booking information reliably was challenging due to API access limits and anti-scraping protections. Integrating multiple distinct technologies (voice input, LLMs, booking APIs, and frontend UI) into one smooth pipeline took careful engineering. Ensuring the voice-to-response experience felt natural, fast, and cohesive, especially when calling several APIs behind the scenes. 🌟 Final Thoughts This isn’t just a travel planner — it’s your AI-powered, voice-based travel concierge. With just your voice, you can plan, tweak, and book your next trip in a matter of seconds. It’s highly customizable, intuitive, and designed to eliminate the friction from travel planning. The future of trips starts with a conversation — and ends with a single tap to book it all.

Analysis

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Technology

Found in codeClaimed only
  • FastAPIIn code
  • JavaScriptIn code
  • PythonIn code
  • ReactIn code
  • TypeScriptIn code
  • Google GeminiClaimed

5 of 6 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

  • Claude CodeCommits

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

111 KB

Source files

26

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

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