NapMap - Sleep Debt Analyzer
Author: Sohraab Singh Dhillon
Institute: NIELIT Chandigarh
Course: Python with Data Science (Summer Training 2025)
🛏️ Project Overview NapMap is an intelligent sleep tracking and visualization tool built using Python with a simple and intuitive Tkinter-based GUI. It allows users to log their daily sleep and wake times, visualize sleep trends, calculate sleep debt, and receive smart feedback to optimize their sleep patterns.
🎯 Objectives Track daily sleep schedules
Visualize trends in sleep duration
Calculate sleep debt and consistency
Provide personalized feedback for healthier sleep habits
🧰 Technologies Used Python 3
Tkinter – GUI interface
Pandas – Data processing
NumPy – Time calculations
Matplotlib & Seaborn – Charts and heatmaps
tkcalendar – Date selection widget
📋 Features ✅ Log daily sleep and wake times ✅ Visual display of sleep duration over time ✅ Heatmap of bedtime and wake times ✅ Real-time sleep debt and consistency calculation ✅ Smart recommendations for better sleep hygiene ✅ Exportable design for future CSV integration
🚀 How to Run
Install required libraries: pip install pandas numpy matplotlib seaborn tkcalendar
Run the application: main.py Use the form to enter your sleep data. Click on buttons to generate reports and visualizations.
📈 Example Visuals Line Chart: Sleep hours vs. Date
Heatmap: Bedtime and Wake Time across dates
📂 Files Included main.py – Main Python script with GUI
sample_sleep_data.csv – Example format for data entry
📜 Acknowledgements This project was submitted by Sohraab Singh Dhillon as part of the Summer Training Program at NIELIT Chandigarh under the course Python with Data Science (2025).