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"Tindora" - The Tinder for Food, FormulaHacks Hackathon MLH - Built with ReactJS, Firebase, and Gemini API (OCR)

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Tindora: "Swipe Right and Take a Bite!"

Tindora is designed to simplify meal planning for college students while addressing food waste. By offering personalized meal recommendations based on the ingredients you have, Tindora makes cooking both enjoyable and sustainable!

Features

Personalized Meal Suggestions: Input your groceries manually or scan your receipts to receive curated meal recommendations.
Ingredient Expiration Tracking: Keep track of ingredient freshness to minimize waste.
Swipe Feature: Save or discard meal suggestions with ease.
Recipe Ideas: Get recipes based on your favorite dishes.

How It Works

Tindora integrates with Google's Gemini Pro API to enhance its functionality:

  • OCR Tasks: Easily scan grocery receipts using Gemini's OCR capabilities.
  • Advanced Text Models: Receive meal recommendations tailored to your preferences through Gemini's text processing features.

Benefits

Optimized Freshness: Track ingredient expiration to ensure you use them at their best.
Reduced Waste: Make informed food choices to minimize waste.
Enhanced Cooking Experience: Enjoy a more efficient and fulfilling cooking process.

Tindora showcases the potential of AI to transform meal planning and make daily life more convenient.

Google Gemini API Hackathon (Version 2)

Google Gemini API Developer Competition, Tindora - The Tinder for Food

Tech Stach Used

Firebase (auth, Firestore database, hosting), Gemini API, React.JS

Demo

Website: https://tindora-c728d.web.app/
Link to Demo Video: Coming Soon!

FormulaHacks (Version 1)

FormulaHacks Hackathon MLH, Tindora - The Tinder for Food.
Won Best Use of MongoDB Atlas and Best Pitch

Tech Stack Used

Node.JS, Express, MongoDB, React.JS

Demo

Devpost: https://devpost.com/software/tindora
Link to Demo Video: https://www.youtube.com/watch?v=yWKjd76fJlQ&ab_channel=TarunAjjarapu Tindora Demo Video

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"Tindora" - The Tinder for Food, FormulaHacks Hackathon MLH - Built with ReactJS, Firebase, and Gemini API (OCR)

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  • CSS 1.2%