Machine Learning Projects in Bangalore

Identifies plant diseases from leaf images using a convolutional neural network. Covers dataset preparation, CNN training and a prediction interface, with clear accuracy metrics for the report.

Detects a sleepy driver from eye and head movement using computer vision and alerts them in real time. Demonstrates OpenCV, facial landmark detection and live classification.

Classifies news articles as real or fake using natural language processing and a trained ML model. Covers text preprocessing, feature extraction and model evaluation.

Suggests items to users based on preferences using collaborative or content-based filtering. A practical, resume-friendly ML project with a working recommendation interface.

Predicts disease risk from patient data using classification models. Demonstrates the full ML pipeline from data cleaning to prediction with accuracy reporting.