Tech Use Impact on Stress and Wellness

A **Machine Learning project** that predicts stress levels (0–10 scale) based on users' daily habits, lifestyle choices, and mental health indicators.

The project includes **Exploratory Data Analysis (EDA)**, **data preprocessing**, **model training & evaluation**, and **deployment** with a Streamlit web application.

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## Features

- Predicts stress level on a scale from **0 (Low)** to **10 (High)**.

- Interactive **Streamlit dashboard** for user-friendly input.

- Visual feedback with:

- Stress score (numeric value).

- Progress bar (0–100%).

- Stress category messages (**Low, Moderate, High**).

- Handles multiple lifestyle and health-related features:

- Screen time, phone/laptop/tablet usage.

- Sleep duration & sleep quality.

- Mood rating.

- Physical activity.

- Caffeine intake.

- Mental health scores (anxiety, depression).

- Age group, wellness app usage, eating habits, etc.