My AI-Based Student Performance System predicts academic performance from historical and behavioral data, including attendance, assignment scores, and study patterns. I cleaned and prepared datasets with Pandas and NumPy, then trained and evaluated classification and regression models using Scikit-learn.
The system achieved over 90% prediction accuracy, supporting early identification of at-risk students. I also explored TensorFlow and PyTorch through hands-on exposure to machine learning and deep learning frameworks.
For my Lifecare HMS project, I designed and developed a full-stack Hospital Management System to streamline patient records, appointments, and administrative workflows. I built its responsive interface and back-end logic, and designed a normalized MySQL schema; testing showed 98.8% overall accuracy and reliability in handling hospital workflows.
During a project-based experiential learning internship with IBM, I completed structured learning modules and practical project tasks in Generative AI. I'm pursuing a B.Tech in Computer Science and Engineering with a specialization in Data Science at Moradabad Institute of Technology, expected in 2027.
