HealthyEats

HealthyEats is a personalized health and fitness recommendation system. This is an innovative project developed during the Hack Harvard Hackathon 2023, focused on the "Health and Fitness" track. Leveraging the Terra API for data generation, this project is designed to empower users to make informed decisions about their health and well-being.

Picture this: You wake up in the morning, rush to get ready for work, hastily grab a quick breakfast, and then, just like that, you're off to face the world. You're so engrossed in meetings, deadlines, and responsibilities that the state of your body becomes an afterthought. We're all guilty of this at some point. The days blur into weeks, the weeks into months, and before we know it, we've neglected our own well-being, not realizing that our bodies are sending us silent signals that often go unnoticed. And that's where HealthyEats can be important. It acts as a bridge between your busy life and your health. It provides insights into your body's state and suggests ways to improve it.

• Project Name
  • Description
  • What problem are we solving?
  • Table of Contents
  • Demo
  • Screenshots
  • Technologies Used
  • Features
  • Getting Started
    • Prerequisites
    • Installation
  • Team Members

https://www.youtube.com/watch?v=c2CBz8MlhtI&embeds_referring_euri=https%3A%2F%2Fdevpost.com%2F

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• Next.js, Firebase, MongoDB, Tailwind CSS, LLM

• User Profiling: Allow users to input their personal details, including height, weight, and dietary preferences.
• Terra API Data Collection: Collects health data, such as sleep patterns, calorie consumption, energy levels, and daily step count.
• Data Analysis: Utilize Large Language Memory (LLM) models to analyze user data and provide personalized health insights.
• Personalized Recommendations: Generate actionable recommendations based on the user's unique health and fitness metrics, promoting a healthier lifestyle.
• User-Friendly Interface: Create an intuitive and easy-to-use interface for a seamless user experience.

Node.js: Make sure you have Node.js installed on your system. You can download it from nodejs.org.

MongoDB: You need to have a MongoDB instance running. You can set up a local MongoDB server or use a cloud-based service like MongoDB Atlas.

Firebase: Create a Firebase project and obtain the necessary configuration details. You can set up Firebase by following the instructions on the Firebase website

Sanij Shrestha - CS major @ Gettysburg College (https://sanijshrestha.vercel.app/) Prabesh Bista - CS major @ Gettysburg College (http://prabeshbista.com.np/) Oshan Maharjan - CS major @ Northern Kentucky University (https://www.linkedin.com/in/oshan-maharjan/)