Vision Talk
AI-powered intelligent blind assistance system with real-time object detection, scene understanding, and voice feedback.
I build practical AI systems for computer vision, deep learning, face analytics, and assistive technology.
Artificial Intelligence and Data Science student at Sri Ramakrishna Engineering College with hands-on experience in machine learning, computer vision, and deep learning through internships and academic projects.
Recent work includes a face analytics pipeline for age and gender classification and an intelligent blind assistance system combining object detection, scene understanding, and voice feedback.
Project cards use animated scan frames so future CV updates are easy to identify and replace.
AI-powered intelligent blind assistance system with real-time object detection, scene understanding, and voice feedback.
Age and gender classification pipeline with confidence scoring, face detection, model evaluation, and real-world image testing.
A compact stack for building, testing, and presenting AI-powered applications.
Python, SQL, Kotlin, Java
Machine Learning, Deep Learning, Computer Vision, NLP
OpenCV, YOLOv8, Flask, PyTorch, RetinaFace, EfficientNet
Problem solving, teamwork, communication, fast learning
Developed and evaluated a face analytics system for age and gender classification using deep learning.
Managed customer orders using POS software and strengthened communication in a fast-paced environment.
Sri Ramakrishna Engineering College, Coimbatore
2024 - 2028 / CGPA 7.89Aggarwal Matriculation Higher Secondary School
2024 / 89%Promoted AI initiatives through technical events, workshops, student outreach, and peer learning.
Infosys, Celonis, ServiceNow CSA, NPU Acceleration Using Hugging Face Models.
Open to AI/ML internships and collaborations in computer vision, deep learning, and assistive technology.
Coimbatore, TN 641125