The project leverages ultrasound imaging and the U-Net deep learning architecture to assist in clinical surgeries by identifying nerve abnormalities. By accurately segmenting and predicting these abnormalities, the solution enables precise treatment planning, reducing on high-dose painkillers and minimising invasive procedures, thereby improving patient recovery outcomes .
Built an ANN powered tool for customer churn prediction and salary estimation using key features like credit score and account activity. Deployed on streamlit cloud, it delivers a real-time insights to enhance retention and streamline business strategies.
Developed a Movie Reviews Sentiment Analysis project using the IMDB dataset. Built a Simple RNN model to predict review sentiment and provide a sentiment score. Deployed on streamlit cloud for interactive analysis, showing expertise in NLP and deployment
Trained on Hamlet dataset, this next-word prediction model utilizes LSTM and GRU to capture intricate linguistic structures. Deployed on Streamlit Cloud, it provides an engaging platform for real-time text prediction, showcasing advanced expertise in NLP and seamless model deployment