Vaibhav Waghmare Email and Phone Number

Human Emotion Detection Model - Designed and implemented a straightforward emotion detection model using natural language processing (NLP) techniques and machine learning algorithms. The model utilizes a dataset FER 2013 annotated with various emotional states to train a classification algorithm Technologies: Python, scikit-learn, TensorFlow, Keras and tkinterAnimal Detection with EmotionDeveloped a web-based application to detect animals and analyze their emotions using the VGG16 convolutional neural network architecture integrated with Streamlit for the frontend interface.

Over the past 2 months, I've had the incredible opportunity to deepen my knowledge and skills in Artificial Intelligence and Machine Learning. This experience has been both challenging and rewarding, allowing me to work with cutting-edge technologies and learn from industry experts. I enhanced my understanding of AI and ML concepts, gaining hands-on experience with tools and technologies such as Python, TensorFlow, Keras.