Achyuth Mukund's repositories
achyuth-2308
Config files for my GitHub profile.
CS3003-Software-and-Programming-in-IoT
file and code dump for all the experiments done in my CS3003 - Software and Programming in IoT Lab Course. Throughout this course, I've been diving into some pretty cool stuff—from basic setups like serial communication to more complex things like PID control, traffic light simulations, and secure data handling with MQTT and cryptography.
EcoSphereX-IoT-Based-Integrated-Monitoring-System-for-Environmental-Health
EcoSphereX is an IoT-powered system for real-time monitoring of air quality, noise pollution, and soil acidity. It provides actionable insights for urban planning, agriculture, and public health. Supported by a ₹10,000 grant under the STIRS Scheme from Shiv Nadar University Chennai, EcoSphereX drives sustainable environmental solutions.
GestureGenius-Virtual-Cursor-Commander
GestureGenius is a Python-driven, touchless control interface using OpenCV, Mediapipe, and PyAutoGUI for real-time hand tracking and virtual cursor manipulation. Transform your everyday webcam into a high-precision, touchless input device, enabling seamless interactions for accessibility, gaming, presentations, and smart displays.
IIIT-DM-Internship
This repository contains all the codes that I worked on, during my internship tenure at the Indian Institute of Information Technology, Design and Manufacturing, (IIIT-DM, Kancheepuram)
SafeStep-Smart-IoT-Safety-Net
The SafeStep project aims to enhance elderly safety by detecting falls using advanced motion sensors, cloud services, and algorithms. Alerts caregivers/emergency services for prompt assistance, mitigating injury risks. Powered by NodeMCU ESP8266 and the MPU-6050 accelerometer/gyroscope, it continuously tracks body orientation and acceleration.
SproutSpotter-IoT-Based-Plant-Monitoring-System
Real-time IoT-Based plant monitoring system alerts users of environmental conditions, optimizing growth & reducing risks. Uses NodeMCU, DHT11, Soil Moisture sensors. Data is sent to cloud for analysis and alerts via Blynk app when conditions exceed set thresholds.