Solving the "Where Should We Eat?" Problem on Campus with AI
We've all been there. It's 1:00 PM, you just got out of a long lecture, and you're starving. You look at your friends and ask the age-old question: "Where should we eat?"
What usually follows is 15 minutes of scrolling through delivery apps, debating budgets, and ultimately settling for the exact same place you ate at yesterday.
At Parul University, where the campus is huge and the food options are seemingly endless, this decision fatigue is a daily struggle. That's why I built UniCrave - an AI-powered foodie assistant designed specifically to help students discover the perfect campus food spot in seconds.
What is UniCrave?
UniCrave is not just another restaurant directory. It's a conversational AI assistant that actually understands what you are in the mood for.
Instead of scrolling through endless lists of cafes, you just talk to it like a friend.
"I have ₹100 and I want something spicy."
"Where can I get a good coffee and a quiet place to study?"
"I'm craving a buttery puff, what's good right now?"
The AI instantly cross-references your request with a highly curated database of local food spots around Parul University and gives you a personalized recommendation, complete with specific dish suggestions, prices, and a one-click button to open the location in Google Maps.
How It Works (Without the Jargon)
While the user experience is as simple as sending a text message, there is some serious modern technology powering it under the hood:
The Brain (Meta Llama 3): Instead of building a rigid, keyword-based search engine, UniCrave uses one of the most advanced open-source AI models in the world. Hosted via Nvidia's API, the AI is prompted to act as a sophisticated local foodie. It understands context, budget constraints, and even the "vibe" you are looking for.
The Speed (React & Vite): The web app is built to be blazing fast. When you're hungry on campus, you don't want to wait for heavy web pages to load. The UI is built with React, featuring a sleek, glassmorphism design that looks like a native iOS app right in your browser.
The Live Database (Firebase): To keep the restaurant data and campus secrets up-to-date, everything is stored in a live cloud database. This means as new cafes open up around Parul University, they can be added to the AI's knowledge base instantly.
Why AI is the Future of Local Discovery
Search engines like Google are great for finding facts, but they are surprisingly bad at answering highly subjective, multi-variable questions like "Where is a cheap, spicy food spot near me that is open right now?"
By combining a focused, local database with the reasoning capabilities of Large Language Models (LLMs), we can create hyper-personalized concierges for specific communities. UniCrave isn't trying to map the whole world; it's trying to be the ultimate expert on one specific campus.
Try It Out!
Whether you are a student at Parul University looking for your next meal, or a developer curious about how AI can be used to solve local, everyday problems, I'd love for you to check it out.
🌐 Visit the app: unicrave.vercel.app
If you have a great local food spot that the AI doesn't know about yet, just click the "Suggest a Place" button at the bottom of the screen!
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