Developed an advanced machine learning application for identifying animals from images. Leveraging a comprehensive dataset, the application matches an input photo against the dataset to accurately classify and name the animal. Utilized transfer learning algorithms to train the model, enhancing the efficiency and accuracy of the classification process.Tech Stack used:Machine Learning, Transfer Learning.

Developed a fully fucntioning ATM interface using JAVA GUI and learn lot about GUI.Done other beginner level projects during one month internship.

Developed a machine learning application that detects and identifies facial expressions in group photos. Utilized MobileNet as the base model to ensure accurate recognition of various emotions.Implemented a custom dense layer to classify seven distinct facial expressions, enhancing the model’s specificity and accuracy.