🩺 Health Insight

Health Insight is a Streamlit-based health analytics app that provides personalized wellness insights, anomaly detection, and glucose trend predictions.
Built using Python, Firebase, and scikit-learn, it combines signal processing, machine learning, and interactive visualizations.

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🚀 Features

• 🧠 Personalized Insights – Real-time feedback based on glucose, heart rate, activity, and calorie data
• 📊 Data Visualization – Smooth trend lines and anomaly markers using Matplotlib
• ⚡ Signal Processing – FFT analysis to detect health rhythm irregularities
• 🔮 Prediction Engine – Linear regression model for short-term glucose forecasts
• ☁️ Cloud Sync – Firebase Firestore integration for persistent user data
• 👤 Authentication System – Email-based login and per-user data storage

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🧰 Tech Stack

• Frontend: Streamlit
• Backend: Firebase Firestore
• Auth: Firebase Authentication
• Libraries: Pandas, NumPy, SciPy, scikit-learn, Matplotlib

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📦 Installation

# Clone the repo
git clone https://github.com/nakibj/HealthInsight.git
cd HealthInsight

# Create a virtual environment
python -m venv venv
source venv/bin/activate  # on macOS/Linux
venv\Scripts\activate     # on Windows

# Install dependencies
pip install -r requirements.txt