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shsarv/Machine-Learning-Projects
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts.
About shsarv/Machine-Learning-Projects
shsarv/Machine-Learning-Projects is an open-source project on GitHub, mainly written in Jupyter Notebook. This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. It currently holds 1,878 stars and 585 forks with 0 open issues, and was last pushed on an unknown date (repository created unknown).
Project Overview
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GitHub Repository Details
README
Project Overview
A curated portfolio of 26 end-to-end machine learning projects — spanning healthcare AI, real-time computer vision, NLP chatbots, time series forecasting, and classical ML. Each project applies theory to a practical problem, with several fully deployed as web and GUI applications.
📊 Repository at a Glance
| 📁 Projects | 🏷️ Domains | 🚀 Deployed Apps | 🖥️ GUI Apps | ⭐ GitHub Stars | |:-----------:|:----------:|:---------------:|:-----------:|:--------------:| | 26 | 6 | 5 | 3 | 1.3k+ |
📚 Table of Contents
Click to expand / collapse
All Projects by Category
Legend: 🟢 Beginner 🟡 Intermediate 🔴 Advanced | 🌐 Web App 🖥️ GUI App 📓 Notebook
🏥 Healthcare & Medical AI
6 Projects — click to collapse
| Project | Description | Tools & Algorithms | Level | Type | |---------|-------------|-------------------|:-----:|:----:| | Brain Tumor Detection | Detects tumors in MRI scans using a CNN. Upload a scan and get a real-time prediction. | PyTorch · CNN · Flask | 🔴 | 🌐 | | Diabetes Prediction | Predicts diabetes likelihood from 8 health markers (glucose, BMI, insulin, age) using the Pima Indians dataset. | scikit-learn · SVM · Flask | 🟡 | 🌐 | | Heart Disease Prediction | Predicts cardiac risk from 13 clinical features with ~92% accuracy. | scikit-learn · Logistic Reg. · Flask | 🟡 | 🌐 | | Arrhythmia Classification | Classifies 16 arrhythmia types from 279 ECG features (UCI dataset). | SVM · KNN · Decision Tree | 🟡 | 📓 | | Medical Chatbot | NLP chatbot mapping user-described symptoms to diagnoses via a curated medical knowledge base. | NLTK · TF-IDF · Flask | 🔴 | 🌐 | | MoA Prediction%20Prediction) | Predicts drug biological activity from gene expression and cell viability data (Kaggle competition). | PyTorch · TabNet · Multi-label | 🔴 | 📓 |
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🎥 Computer Vision & OpenCV
9 Projects — click to collapse
| Project | Description | Tools & Algorithms | Level | Type | |---------|-------------|-------------------|:-----:|:----:| | Driver Drowsiness Detection | Monitors driver eye state via Eye Aspect Ratio (EAR) and triggers an audio alert on drowsiness. | OpenCV · dlib · EAR | 🟡 | 🖥️ | | Distracted Driver Detection | Classifies 10 distracted behaviors (texting, eating, phone call, etc.) from dashboard camera images. | CNN · Keras · ImageDataGenerator | 🔴 | 📓 | | Lane Line Detection | Overlays detected road lane lines on images/video using Canny edge detection and Hough transforms. | OpenCV · Canny · Hough Transform | 🟢 | 🖥️ | | Human Detection & Counting | Detects and counts people in live video or images using HOG + SVM. | OpenCV · HOG · SVM | 🟢 | 🖥️ | | Gender & Age Detection | Predicts gender and age group from a face image using pre-trained Caffe models. | OpenCV DNN · Caffe Models | 🟡 | 🖥️ | | Image Colorization | Adds realistic color to grayscale photos using the Zhang et al. deep colorization network. | OpenCV DNN · Zhang et al. · LAB space | 🟡 | 📓 | | Smile Selfie Capture | Auto-captures a photo the instant a smile is detected in the webcam feed. No button needed. | OpenCV · Haar Cascades | 🟢 | 🖥️ | | Emoji Creator from Emotions | Detects real-time facial emotions via webcam and overlays the matching emoji on screen. | OpenCV · CNN · FER dataset | 🟡 | 🖥️ | | Human Activity Recognition | Classifies activities (walking, sitting, standing) from pose estimation keypoints over time. | LSTM · Keras · 2D Pose Estimation | 🔴 | 📓 |
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📈 Classical ML & Prediction
7 Projects — click to collapse
| Project | Description | Tools & Algorithms | Level | Type | |---------|-------------|-------------------|:-----:|:----:| | Iris Flower Classification | Classic benchmark — classifies iris species from petal/sepal measurements. Ideal for comparing classifiers side-by-side. | KNN · SVM · Decision Tree · Naive Bayes | 🟢 | 📓 | | Wine Quality Prediction | Predicts wine quality score (3–8) from 11 physicochemical properties like acidity, sulfates, and alcohol. | Random Forest · XGBoost | 🟡 | 📓 | | Loan Repayment Prediction | Predicts whether a LendingClub borrower will repay based on credit history, income, and loan purpose. | Random Forest · XGBoost · Class Balancing | 🟡 | 📓 | | College Admission Prediction | Estimates graduate admission probability from GRE, TOEFL, GPA, and research experience. | Linear Reg. · Ridge · Lasso · SVR | 🟢 | 📓 | | Employee Turnover Prediction | Identifies employees at high risk of leaving using HR data (satisfaction, evaluations, workload, promotions). | Decision Tree · Random Forest | 🟡 | 📓 | | Property Maintenance Fines | Predicts fine compliance from Detroit's blight dataset — a real-world class-imbalance problem (Michigan Data Science Team). | Gradient Boosting · SMOTE · AUC optimization | 🔴 | 📓 | | Research Topic Prediction | Classifies academic papers into topic categories using NLP-based feature extraction on titles/abstracts. | TF-IDF · Naive Bayes · SVM · NLTK | 🟡 | 📓 |
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💬 NLP & Conversational AI
2 Projects — click to collapse
| Project | Description | Tools & Algorithms | Level | Type | |---------|-------------|-------------------|:-----:|:----:| | AI Room Booking Chatbot | Hotel room booking chatbot using IBM Watson. Handles slot-filling, availability queries, and booking confirmations through a web interface. | IBM Watson Assistant · Watson Discovery | 🟡 | 🌐 | | Medical Chatbot | Symptom-to-diagnosis NLP chatbot with multi-turn conversation support. (Also listed under Healthcare.) | NLTK · Flask · TF-IDF · Cosine Similarity | 🔴 | 🌐 |
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📊 Time Series & Business Analytics
2 Projects — click to collapse
| Project | Description | Tools & Algorithms | Level | Type | |---------|-------------|-------------------|:-----:|:----:| | Multi-Store Sales Prediction | Forecasts daily sales for 50 items across 10 stores using three time series approaches and model ensembling. | ARIMA · Facebook Prophet · LSTM (Keras) | 🔴 | 📓 | | IPL Score Prediction | Predicts first-innings T20 scores from ball-by-ball match data with deep EDA and multiple regression models. | Linear/Ridge Reg. · Random Forest · ANN | 🟡 | 📓 |
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🗺️ Geospatial & Data Science
1 Project — click to collapse
| Project | Description | Tools & Algorithms | Level | Type | |---------|-------------|-------------------|:-----:|:----:| | The Battle of Neighborhoods | IBM Capstone — clusters city neighborhoods using Foursquare API data to recommend optimal business locations. | K-Means · Foursquare API · Folium · Geopy | 🟡 | 📓 |
🛠️ Tech Stack
Languages & Environments :
Machine Learning & Deep Learning :
Computer Vision & NLP :
Data & Visualization :
Deployment :
📁 Project Structure
Every project follows a consistent layout for easy navigation and reuse:
ProjectName/
│
├── 📂 data/ # Raw and processed datasets
├── 📂 notebooks/ # Jupyter notebooks (EDA → Training → Evaluation)
├── 📂 models/ # Saved weights (.pkl / .h5 / .pt)
├── 📂 static/ # CSS, JS, images (Flask apps)
├── 📂 templates/ # Jinja2 HTML templates (Flask apps)
├── 📂 src/
│ ├── preprocess.py # Data cleaning & feature engineering
│ ├── train.py # Model training pipeline
│ └── predict.py # Inference logic
├── app.py # Flask entry point (web apps)
├── requirements.txt # Python dependencies
└── README.md # Project-specific documentation
---
🚀 Getting Started
Prerequisites
Python 3.7+ | pip | Git
Clone & Run
# Clone the repository
git clone https://github.com/shsarv/Machine-Learning-Projects.git
cd Machine-Learning-Projects
Navigate to any project
cd "Heart Disease Prediction [END 2 END]"
(Recommended) Create a virtual environment
python -m venv venv
source venv/bin/activate # Linux / macOS
venv\Scripts\activate # Windows
Install dependencies
pip install -r requirements.txt
For Flask web apps
python app.py
→ Open http://127.0.0.1:5000
For notebooks
jupyter notebook
Deploy to Heroku
heroku login
heroku create your-app-name
echo "web: gunicorn app:app" > Procfile
git push heroku main
heroku open
Contributions 🌱
We welcome contributions to this project! If you would like to improve the existing codebase or contribute new features, feel free to submit a pull request. Before submitting, please ensure that you adhere to the following:
1. Fork this repo
2. Branch: git checkout -b feature/YourProjectName
3. Structure your folder with a README.md and requirements.txt
4. Commit: git commit -m "Add: YourProjectName"
5. Push: git push origin feature/YourProjectName
6. Open a Pull Request → target main
Please read CONTRIBUTING.md and follow the Code of Conduct.
Future Enhancements:
- [ ] Integrate Explainable AI (XAI) models for better understanding of predictions in complex models.
- [ ] Add Docker support for easy containerization of all projects.
- [ ] Incorporate CI/CD pipelines using GitHub Actions for automated testing and deployment.
- [ ] Migrate some projects to use streamlit for interactive dashboards.
- [ ] Explore Reinforcement Learning for game-based AI projects.
- [ ] Expand the NLP section to include text summarization, translation, and more chatbot capabilities.
📚 Resources and References
- Official Python Documentation: Python.org
- Flask Documentation: Flask.palletsprojects.com
- Scikit-learn User Guide: Scikit-learn.org
- Keras Documentation: Keras.io
- TensorFlow Documentation: Tensorflow.org
- PyTorch Documentation: Pytorch.org
- Coursera - Machine Learning by Andrew Ng
- Udacity - AI for Everyone
- Kaggle Learn - Data Science
⭐ Acknowledgments
- The wonderful Kaggle community, which provided open datasets and insightful discussions.
- Udemy, Coursera, and edX instructors who have helped me build a solid foundation in AI.
License
Distributed under the MIT License. See LICENSE for more information.
Maintained By
 Sarvesh Sharma |
