Manjiswari

Smart alcohol detection and ignition lock system using Arduino, MQ-3 sensor, and embedded electronics. Embedded IoT project for alcohol detection and automatic vehicle ignition control.

Skin Disease Detection is a deep learning project that classifies skin diseases from medical images using a Convolutional Neural Network (CNN). It includes image preprocessing, model training, and prediction to improve classification accuracy.

An IoT-based smart library seat availability system using Arduino UNO, ESP32, IR sensors, LCD, and a web dashboard for real-time occupancy monitoring and seat management.

Automated news classification system using TF-IDF, Multinomial Naive Bayes, and Linear SVM. Built with Scikit-learn on the 20 Newsgroups dataset to compare model performance through accuracy, classification reports, and confusion matrices.