AI Trip Planner

🚀 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.

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