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Company Prompt: Chubb

We would like to include a Chubb category: Harnessing AI for Community Risk Awareness Prompt: Create an informational tool or app that educates users about potential risks in their community (e.g., natural disasters, health concerns).

🦆 Quack-Hacks Health Tracker

🚀 Team Information

Team Name: Live Healthy
Team Members: Haig Emirzian, Nick Weidman, Brian Sampson, Joy Khera

🩺 Overview

The human body is a complex system, constantly working behind the scenes. Our Health Tracker brings order to this complexity by providing insights into your well-being and predicting future weight trends based on your lifestyle.

Our platform is designed around two core features:
🔹 Health Data – Understand your daily activity and vital metrics.
🔹 Weight Data – Predict your future weight trajectory based on your current habits.

🔍 Features

🏃 Health Data

✔️ Gain insights into active energy burned, heart rate, step count, and more.
✔️ Identify trends in your daily health metrics.
✔️ Receive custom-tailored recommendations for a healthier lifestyle.

⚖️ Weight Data

✔️ Upload your weight fluctuations and receive a 30-day weight prediction.
✔️ Visualize your progress and future trends to stay motivated.
✔️ Uses a Recurrent Neural Network (RNN) with a Long Short-Term Memory (LSTM) architecture, leveraging a 30-day sliding window approach to detect patterns and predict future weight trends.
✔️ Get a clearer picture of how long you need to stick to your plan.

🛠️ Tech Stack

Category	Technologies
Backend	Flask, PyTorch
Frontend	React, Tailwind, Express
Data Processing	Databricks
Machine Learning	RNN with LSTM (30-day sliding window)
Languages	Python, JavaScript