Madurai, Tamil Nadu, India
I'm a Data Science student at Thiagarajar College of Engineering, Madurai, passionate about applying AI and analytics to real-world problems. I've completed two virtual internships, one on Facial Emotion Recognition using CNN at Central University of Tamil Nadu and another on Graph Convolutional Networks with ARIMA for Passenger Flow Forecasting at Beibu Gulf University, China. I also interned at AuroiTech ,Aravind Eye Care System, Madurai, developing an AI-based Clinical Summary Generation System using Large Language Models (LLMs) for ophthalmic data automation. I'm a quick learner, adaptable, and a team player, continuously upskilling through Coursera and NPTEL courses to deepen my knowledge in machine learning and data science.
Worked on developing an AI-assisted clinical analytics system for ophthalmology that automates patient data extraction, summarization, and visualization. The system transforms raw medical records into structured JSON data, generates clinically accurate summaries using OpenAI GPT-4o, and visualizes patient progress through interactive dashboards built with Flask, Chart.js, and PostgreSQL. Implemented modules for automated JSON data generation, LLM-based clinical summary creation, and graphical dashboards displaying vision and treatment trends. The project enhanced clinical efficiency by reducing manual workload and improving data-driven decision-making.
Facial Emotion Recognition using CNN and Attention Mechanism Developed a deep learning model for automatic facial emotion recognition using the FER2013 dataset from Kaggle. The project employed a Convolutional Neural Network (CNN) integrated with an attention mechanism to enhance feature extraction and focus on key facial regions associated with emotional expressions. The system classified emotions such as happiness, anger, sadness, and surprise, achieving improved accuracy and interpretability compared to a baseline CNN model.