Innovating with AI/ML & Building Scalable Web Solutions
Passionate AI & ML Engineer specializing in Deep Learning, and Modern Web Technologies. I also have expertise in full-stack development, creating end-to-end applications using cutting-edge technologies like React, Node.js, MongoDB, and Python.
I am a passionate AI & Machine Learning Engineer with a strong foundation in computer science and artificial intelligence. Currently pursuing my academic journey while building innovative solutions that leverage cutting-edge technologies.
Computer Science & Engineering
Specialization in AI & Machine Learning
I specialize in developing intelligent systems that can see, learn, and make decisions. My expertise spans across computer vision, machine learning model development, and full-stack web applications.
Developing innovative ML models for real-world applications including tire health monitoring and sign language recognition.
Building end-to-end solutions with Python, Java, and web technologies to deploy AI models effectively.
Analyzing complex datasets and extracting meaningful insights to drive intelligent decision-making.
Developed a cutting-edge Facial Expression Recognition system using Convolutional Neural Networks (CNN) enhanced with Spatial Active Unit attention mechanism. Successfully improved recognition performance from 62% to 85.2% on the KDEF (Karolinska Directed Emotional Faces) dataset, demonstrating significant advancement in emotion detection accuracy.
Advanced ML model using MATLAB for predicting tire performance and maintenance needs. Features web deployment with real-time prediction capabilities and interactive dashboard.
Deep Learning CNN model trained on ResNet-18 architecture for automated tyre health assessment. Accurately classifies tire conditions to prevent failures and optimize maintenance schedules.
Computer Vision system for real-time American Sign Language recognition using deep learning. Trained on extensive datasets to provide accurate gesture classification and translation.
Comprehensive Python-based health monitoring application with personalized diet and exercise tracking. Features data analytics and intelligent recommendations for optimal health management.
Full-stack web application for real-time bus location tracking and route management. Features live GPS tracking, route optimization, passenger notifications, and admin dashboard with MongoDB database.
Object-oriented Java application for comprehensive academic record management. Features student enrollment, grade tracking, and administrative reporting functionalities.
Modern event discovery and management platform designed to simplify how users browse, create, and participate in events. Features an intuitive and responsive user interface with seamless navigation across workshops, college fests, webinars, and cultural activities.
I'm always excited to collaborate on innovative projects. Whether you have an idea to discuss or just want to say hello, feel free to reach out!