Apoorva Srivastava

At Smart India Hackathon, I built the frontend for a project based on a federated learning model, using HTML, CSS, and React.js.

For VoiceWell, I built the frontend for a mental health support project that uses federated learning to analyse voice notes, with an interactive UI/UX.

In my Sentiment Analysis project, I used NLTK to preprocess text and TF-IDF to convert it into numerical features. I trained a Multinomial Naive Bayes model to classify reviews as positive, negative, or neutral.

I also enabled CSV uploads and real-time predictions from manual input, and evaluated the model with accuracy, precision, recall, and a confusion matrix. I’m aiming to create user-friendly, responsive applications and have foundational knowledge of machine learning.