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AI Trip Planner

AI Trip Planner automates travel planning using AI. It generates personalized itineraries, finds flights & hotels, and fetches real-time info via Serper & Gemini APIs—making trip planning effortless!

视频

技术栈

Next
FastApi
LangChain
NGNIX
Python
React

描述

🌍 AI Trip Planner – Smart, AI-Powered Travel Planning

AI Trip Planner is an advanced AI assistant designed to simplify travel planning using LangChain and Ollama. It creates personalized itineraries, suggests flights & hotels, and retrieves relevant travel insights through Serper API and Gemini.

✈️ Key Features:

✅ AI-Generated Itineraries – Custom trip plans based on preferences, budget, and duration.
✅ Smart Search-Based Insights – Uses Serper API & Gemini to provide relevant travel recommendations.
✅ Flight & Hotel Suggestions – AI analyzes search results to offer the best options.
✅ Conversational & Interactive – Built with LangChain for a seamless AI-driven experience.

With AI Trip Planner, travel planning becomes effortless—no more endless browsing, just smart, AI-powered recommendations! 🚀

本次黑客松进展

🚀 Progress During Hackathon – AI Trip Planner ✅ Initial Goals Build an AI-powered trip planner using LangChain and Ollama. Integrate Serper API & Gemini for search-based travel insights. Develop a conversational interface for itinerary generation. Implement hotel and flight suggestions (without real-time API integration). 🔥 Key Achievements ✔ AI Itinerary Generation – Successfully implemented personalized travel plans. ✔ Search-Based Travel Insights – Integrated Serper API & Gemini for relevant recommendations. ✔ Conversational AI – Built an interactive chatbot using LangChain. ✔ Flight & Hotel Suggestions – Extracted structured travel options from search results. 🛠 Challenges Faced & Solutions ⚡ Handling Search Results – Optimized query structures to improve response relevance. ⚡ Refining AI Responses – Tweaked prompt engineering for better itinerary accuracy. ⚡ Balancing Performance & Cost – Chose Serper API over real-time APIs to keep it efficient. 🎯 Next Steps 🚀 Enhance itinerary customization with more user inputs. 🚀 Improve search query logic for better travel suggestions. 🚀 Add multi-city trip planning capabilities.

融资状态

none
队长
NNikunj Goyal
项目链接
赛道
AI