Sleep Disorder Predictor System Using Machine Learning

[Soumya0927]

🔍 Problem Description: The goal of this project is to develop a Sleep Disorder Predictor System to identify common sleep disorders such as Insomnia and Sleep Apnea. The system will analyze key factors like sleep duration, quality of sleep, physical activity, stress levels, BMI, and cardiovascular health indicators to predict the presence of sleep disorders and provide actionable insights for better sleep management.

🧠 Model Description: The model will primarily utilize Random Forest and other classification algorithms due to their effectiveness in handling mixed data types and complex interactions between features. The project will also explore ensemble learning techniques to enhance the predictive accuracy and generalization of the system.

⏲️ Estimated Time for Completion: Approximately 1 week, covering data preprocessing, model training, testing, and validation.

🎯 Expected Outcome: The system will provide accurate predictions for sleep disorders, enabling users to gain better insights into their sleep health and helping healthcare providers in early diagnosis and treatment planning.

📄 Additional Context: The model will be continuously retrained with updated data to remain relevant and adapt to changes in health trends and lifestyle factors influencing sleep patterns.

💼 Participant Role: GSSOC'24 Extended, Hactoberfest'24

Note:

• Please review the project documentation and ensure your code aligns with the project structure.
• Please ensure that either the predict.py file includes a properly implemented model_details() function or the notebook contains this function to print a detailed model report. The model will not be accepted without this function in place, as it is essential for generating the necessary model details.
• Prefer using a new branch to resolve the issue, as it helps keep the main branch stable and makes it easier to manage and review your changes.
• Strictly use the pull request template provided in the repository to create a pull request.

[yashasvini121]

Sure @Soumya0927, go ahead!

[BISHAL17048]

🔍 Problem Description: The goal of this project is to develop a Sleep Disorder Predictor System to identify common sleep disorders such as Insomnia and Sleep Apnea. The system will analyze key factors like sleep duration, quality of sleep, physical activity, stress levels, BMI, and cardiovascular health indicators to predict the presence of sleep disorders and provide actionable insights for better sleep management.

🧠 Model Description: The model will primarily utilize Random Forest and other classification algorithms due to their effectiveness in handling mixed data types and complex interactions between features. The project will also explore ensemble learning techniques to enhance the predictive accuracy and generalization of the system.

⏲️ Estimated Time for Completion: Approximately 1 week, covering data preprocessing, model training, testing, and validation.

🎯 Expected Outcome: The system will provide accurate predictions for sleep disorders, enabling users to gain better insights into their sleep health and helping healthcare providers in early diagnosis and treatment planning.

📄 Additional Context: The model will be continuously retrained with updated data to remain relevant and adapt to changes in health trends and lifestyle factors influencing sleep patterns.

💼 Participant Role: GSSOC'24 Extended, Hactoberfest'24

Note:

Please review the project documentation and ensure your code aligns with the project structure. Please ensure that either the predict.py file includes a properly implemented model_details() function or the notebook contains this function to print a detailed model report. The model will not be accepted without this function in place, as it is essential for generating the necessary model details. Prefer using a new branch to resolve the issue, as it helps keep the main branch stable and makes it easier to manage and review your changes. Strictly use the pull request template provided in the repository to create a pull request.

[BISHAL17048]

Please assign me this problem

[Soumya0927]

@BISHAL17048 I am already working on this. Hope you understand. Thank You.

[Soumya0927]

@yashasvini121 Please review the changes and let me know if any further modifications are required. If everything looks good, I would appreciate it if you could merge the PR. Thank you!