💧 Hydration Level Predictor

A Machine Learning Web Application using Flask

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📌 Problem Statement

Proper hydration is critical for maintaining good health.
This project predicts whether a person's hydration level is Good or Poor based on lifestyle and environmental factors.

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🧠 Solution Approach

• Collected dataset from Kaggle
• Performed preprocessing
• Trained Logistic Regression model
• Achieved 99.67% accuracy
• Integrated model with Flask backend
• Built frontend using HTML & CSS

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🏗 Architecture

User Input → Flask Backend → ML Model → Prediction → Display Result

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🛠 Tech Stack

• Python
• Flask
• Scikit-learn
• Pandas
• HTML/CSS
• Joblib

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📊 Model Details

• Algorithm: Logistic Regression
• Accuracy: 99.67%
• Evaluation: Classification Report

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🚀 How to Run Locally

pip install -r requirements.txt
python app.py

Open:

http://127.0.0.1:5000

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📂 Project Structure

hydration_level_predictor/
│
├── model/
├── data/
├── static/
├── templates/
├── app.py
├── train_model.py
├── requirements.txt
└── README.md

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🌍 Future Improvements

• Deploy on cloud (Render)
• Add model confidence score
• Improve UI/UX
• Add API endpoint

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👩‍💻 Author

Gayathri Sai Vemula
B.Tech CSE | Aspiring Software Engineer