adding one more ml project#4873
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ajay-dhangar merged 1 commit intocodeharborhub:mainfrom Oct 20, 2025
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Great job, @ak-0283! 🎉 Thank you for submitting your pull request to CodeHarborHub. We appreciate your contribution and enthusiasm! Our team will review it soon. If you have any questions or need further assistance, feel free to reach out. Thanks for contributing!
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Done. Please address another issue; we only accept 1-2 showcase projects per contributor.
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Related Issue
[Cite any related issue(s) this pull request addresses. If none, simply state "None”]
Finishing the issue #4870
Description
This pull request introduces a new Machine Learning project to the repository — a 💤 Sleep Analysis & Prediction System. The system leverages machine learning to help users understand sleep patterns, detect anomalies, and improve sleep quality through data-driven insights.
The project includes:
🛏️ Sleep Pattern Analysis: Analyze sleep duration, cycles, and trends over time.
🤖 Predictive Modeling: Predict sleep quality or potential disorders based on input features.
📊 Data Visualization: Visual graphs and charts showcasing sleep patterns, trends, and correlations.
🖥️ Interactive Interface: Simple, user-friendly interface for inputting sleep data and viewing predictions.
🌙 Personal Insights: Provides actionable recommendations to improve sleep habits.
Type of PR
Screenshots / Videos (if applicable)
After
Before
Checklist
Additional Context
This marks the successful addition of the first ML-based project to the repository, expanding the project scope beyond documentation and front-end development. The Crop Recommendation System demonstrates how machine learning can be applied effectively in agriculture to improve productivity and decision-making.
Resources for Guidance
Resources for DSA Features on Our Site:
Contribution Level
This contribution qualifies as a Level 2 task, as it introduces a new, working ML feature to the project with documentation and testing.
Contribution Guidelines Summary
This project adheres to Code Harbor Hub’s structured contribution levels, and this PR represents a Feature Enhancement with educational and practical value for contributors and learners alike.
Thank you for reviewing my submission!