Building SARATHI: Real-time Computer Vision for Driver Safety
Deep dive into building a production-ready driver attention monitoring system using MediaPipe and OpenCV
AI/ML Engineer & Team Lead | Competition Winner | Building Production AI Systems
Passionate AI/ML Engineer driving innovation through code
I'm a pre-final year B.Tech IT student at Techno India College of Technology, specializing in AI/ML and Computer Vision. As Team Lead for Dot Slash, I've guided our team to victory in multiple competitions, including 1st place among 140+ teams in our college hackathon.
With a strong foundation in machine learning, computer vision, and full-stack development, I focus on building production-ready AI systems that solve real-world problems. My expertise spans from SRGAN implementations for healthcare to real-time driver monitoring systems.
Recognition for technical excellence and innovation
Won among 140+ teams with innovative AI solution
2025SARATHI project gained recognition for driver safety innovation
2024Vrinda agricultural platform received global recognition
20242 Projects nominated - Sports & Public Safety domains
2025Building the future with AI and innovation
Driver Attention Monitoring System
AI-based driver safety system using computer vision. Finalist at Hack4Bengal.
Medical Image Enhancement
SRGAN-based super-resolution for medical imaging in resource-constrained environments.
Agricultural Intelligence Platform
Complete agricultural disease detection platform with community features.
Sports Assessment Platform
AI-powered sports performance analysis for India's 792M smartphone users.
Real-Time Geolocation sharing
It is a Django-based web application that allows users to generate and share their real-time geolocation via a unique link.
Detecting Human Pose
Foundation in Computer Vision world with detecting the human pose using Mediapipe
Expertise across the AI/ML technology stack
Testimonials from teammates, judges, and professors
Sharing insights from AI/ML development and competition experiences
Deep dive into building a production-ready driver attention monitoring system using MediaPipe and OpenCV
How we used SRGAN to improve medical image quality in resource-constrained healthcare environments
Behind the scenes of Team Dot Slash's victory strategy, technical decisions and team coordination
Sharing the experience, how to build Projects
Behind the scenes of Team Porjoton Sathi's victory strategy, technical decisions and team coordination
Key learnings about technical leadership, team dynamics and managing multiple projects simultaneously
Leading teams and building innovative solutions
Leading AI/ML & Cpmputer Vision development across multiple national competition projects
Building production-ready AI applications solving real-world problems
Building strong foundations in technology
2023 - 2027 (Pre-Final Year)
Specialization: AI/ML and Computer Vision
2021 - 2023
2015 - 2021
Open to opportunities and collaborations