PS 5 — Hobby Matchmaker for Aatmoday. Problem Statement - Students often have interests and hobbies but may not know which Aatmoday sub-group, hobby community, or event would be the right fit for them. This can make it difficult, especially for new students, to discover relevant communities and start conversations. Build a platform where a student simply describes their interests, and the system recommends relevant Aatmoday groups or events. The system should also explain why the recommendation is a good match and generate a personalized icebreaker to help the student start a conversation.

Expected Deliverable
• Simple free-form interest input
• Aatmoday group and event database
• AI-based interest understanding and matching
• Relevant group or event recommendations
• Short reasoning behind each recommendation
• Personalized icebreaker generation
• Support for different types of student interests
Judging Parameters
• Relevance of recommended groups or events
• Quality of the match reasoning
• Personalization and naturalness of the icebreaker
• Performance across different sample interests
• Ease of use
• Overall functionality of the MVP
Technology Parameters
AI Models: Gemini, ChatGPT, Claude, Llama, Mistral, etc.
APIs: Gemini API, OpenAI API, other suitable APIs, etc.
Frontend: React, Next.js, HTML/CSS/JavaScript, Tailwind CSS, etc.
Backend: Node.js, Python, Java, PHP, etc.
Database: MongoDB, PostgreSQL, MySQL, SQLite, Firebase, JSON, etc.
Other: Search, recommendation systems, authentication, notifications, analytics, etc.