Inspiration
What it does
How we built it🏠 About the Project — Cozy Hostel
Managing hostels is still largely manual—students depend on notice boards, WhatsApp groups, and office visits to get basic information about rules, timings, room availability, or to raise complaints. This leads to confusion, repeated questions, delayed responses, and unnecessary workload for hostel staff.
Cozy Hostel was inspired by this everyday problem. We wanted to build a single, intelligent interface where students can get instant, accurate answers and hostel administrators can reduce repetitive support tasks.
To solve this, we built a context-specific AI assistant that understands and responds only using verified hostel data such as rules, facilities, room details, notices, and FAQs. Unlike generic chatbots, Cozy Hostel does not hallucinate—it retrieves relevant information from a structured knowledge base and generates controlled, trustworthy responses.
🛠 How We Built It
We used a Retrieval-Augmented Generation (RAG) architecture to ensure accuracy.
Hostel documents, rules, and FAQs are converted into embeddings and stored in a vector database.
When a user asks a question, the system retrieves the most relevant hostel context and passes it to the LLM for response generation.
The frontend provides a simple, chat-like experience for students, while the backend ensures secure and scalable data handling.
📚 What We Learned
How to design and implement context-aware AI systems
Practical use of RAG to reduce hallucinations
Integrating AI with real-world operational workflows
Balancing UX simplicity with backend intelligence
🚀 Impact
Cozy Hostel transforms hostel communication by:
Eliminating repeated queries
Improving response time
Reducing staff workload
Giving students a modern, frictionless experience
This project demonstrates how Generative AI can solve real operational problems when combined with the right context and constraints.
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for cozy hostl
Built With
- react
- vite
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