Vishalya S

At SWYNEX Technologies, I documented AI-based student performance classification problems and integrated a sentiment analysis model using Python, Hugging Face Transformers, and PyTorch. I also evaluated AI features, including their failure cases.

I built a handwritten digit recognizer with TensorFlow, a CNN, and Streamlit, achieving 98.89% test accuracy on the MNIST dataset.

For AI Student Assistant, I developed a platform for performance prediction, career recommendations, skill-gap analysis, and personalized learning roadmaps. I connected a Python, Flask, and LiteRT prediction API to a Java Spring Boot backend through REST APIs, with student data stored in MySQL.

My other projects include applications for phishing website detection, student performance prediction, fake news classification, resume analysis, and career guidance. I'm seeking an AI/ML internship where I can gain real-world experience and contribute to practical technology projects.