Monitor industrial machines in real time using sensors to track temperature, vibration, and sound, preventing failures through timely alerts.

react python arduino machine-learning web-development arduino-ide capstone embedded-systems medical mern data-collection lorawan firebase-realtime-database capstone-project esp32-arduino google-colab mern-project tinyml python-scikit-learn

• Updated Oct 14, 2026

A machine learning project to forecast agricultural crop yields using environmental and chemical factors. Developed by Team, The Outliers.

data-science machine-learning random-forest eda streamlit python-scikit-learn agritech-predictive-analytics

• Updated Mar 24, 2026
• Jupyter Notebook

AI-powered smart healthcare monitoring system using ESP32, LoRa, and machine learning to enable real-time heart rate tracking, long-range data transmission, early risk prediction, and offline/local health dashboards for proactive healthcare monitoring.

react ml lorawan firebase-realtime-database mern-stack esp32-arduino google-colab python-scikit-learn

• Updated Jan 13, 2026
• Jupyter Notebook

A machine learning project template

python machine-learning ai tensorflow pytorch python-tensorflow machine-learning-template python-pytorch python-tensorflow-keras python-scikit-learn

• Updated Sep 28, 2026
• Python

Predictive modeling and RFM customer segmentation with Tableau and Python.

data-science machine-learning postgresql predictive-modeling customer-analytics tableau-dashboard rfm-segmentation python-scikit-learn

• Updated Nov 6, 2025
• Python

A clean and modern machine learning project that predicts diabetes using the dataset, showcasing smart data preprocessing, insightful visualizations, and accurate prediction models all built to demonstrate the power of data science in early health risk detection.

random-forest machine-learning-models data-preprocessing-and-cleaning python-scikit-learn

• Updated Dec 17, 2025
• Jupyter Notebook

Scikit-Learn: The scaled version of house prediction but CLI-based only

python machine-learning ai scikit-learn python-machine-learning python-scikit-learn

• Updated Sep 29, 2026
• Python

Customer churn prediction with Logistic Regression, Random Forest, Gradient Boosting, and SVM — includes threshold tuning and an interactive Streamlit dashboard

data-science machine-learning classification churn-prediction customer-analytics streamlit python-scikit-learn

• Updated Jul 21, 2026
• Python

Comparative analysis of machine learning algorithms for transmission line fault classification using IEEE Dataport datasets.

python machine-learning machine-learning-algorithms electrical-engineering transmission-line machine-learning-models machinelearning-python transmission-lines electrical-systems python-scikit-learn

• Updated Jun 15, 2026
• Jupyter Notebook