I am a B.Tech (CSE) scholar at SRM University with a passion for bridging the gap between physical hardware and intelligent software. My work focuses on Assistive Technology—creating smart, safe, and empathetic devices that solve real human problems.
Unlike standard software developers, I don't just write code that runs on a server; I write code that interacts with the real world through sensors, signals, and robotics.
- 🧠 Assistive AI: Building wearable devices that normalize mood and detect emotions using bio-signals (Project: EmoCalm).
- 👁️ Computer Vision: Developing defensive surveillance systems using anomaly detection and YOLO.
- 🤖 Smart Robotics: Prototyping autonomous systems using ROS, Gazebo, and ESP32 architectures.
| Domain | Tools & Technologies |
|---|---|
| Languages | Python, C++, C, JavaScript |
| Embedded & IoT | Arduino, ESP32/8266, Raspberry Pi, Sensors & Actuators |
| AI & Vision | OpenCV, TensorFlow, YOLO, MediaPipe, Scikit-learn |
| Development | Flask, React, Docker, Git/GitHub |
| Simulation | SolidWorks, Blender, Gazebo |
1. EmoCalm: Mental Wellness Wearable
An AI-powered IoT wearable designed to detect emotional states and provide haptic feedback for anxiety relief.
- Tech: C++, Python, Galvanic Skin Response Sensors, ML Classification.
2. Defensive Surveillance Anomaly Detection
A security system that utilizes computer vision to identify behavioral anomalies in real-time feeds.
- Tech: Python, OpenCV, Deep Learning.
I am always open to discussing Embedded AI, Robotics, and Open Source collaborations.