Arunav's Portfolio

🔬 Robolox: An IoT-Enabled Android Platform for Elderly Care and Real-Time Safety

Robolox is an IoT-enabled Android application tailored for elderly care environments. It integrates NodeMCU (ESP8266), GSM/CDMA modules, MQ-2 gas sensors, HC-SR04 ultrasonic sensors, and DHT-11 environmental sensors to provide real-time monitoring and control. The system supports voice-activated appliance control via Google Speech Recognition, emergency SMS-based alerts through SIM900a, and seamless data exchange using Retrofit and Volley libraries. Detailed Overview

🔬 Plant IoT: A Scalable Mobile App Platform for Real-Time Soil and Environmental Monitoring in Playgraound's Grass Management

Plant is an open-source IoT solution for real-time monitoring of soil moisture, temperature, and humidity in grass and turf management. It is built on an ESP8266/NodeMCU microcontroller (Arduino IDE) with a companion Android application that provides live data visualization, configurable alerts, and user-friendly controls. Using low-cost, power-efficient sensors (AHT-20 and BME680). Detailed Overview

🔬 Shift: Event-Triggered IoT Surveillance for Security and Agricultural Applications

This is a research and development project built for tracking object's activity using PIR sensor. Where a NodeMCU is the backbone to detect PIR state and present it as a JSON object. We can access the NodeMCU IoT server using a Static or Dynamic IP, through this IP "Shift" app can read the PIR status from JSON, which acts like a REST API. In addition, "Shift" Android app is responsible to capture object's image after getting positive PIR feedback. Originally built for security, its low-cost and event-driven design makes it highly relevant for agriculture. Detailed Overview

🔬 CogniBotics Arm : An EEG-Driven Control of a 6-DOF Robotic Arm Using NeuroSky MindWave

Low-cost Brain–Computer Interface (BCI) for real-time control of a 6-DOF robotic arm using EEG signals from NeuroSky MindWave, with Arduino integration, Tkinter GUI for visualization, and optional Android app via Google Speech Recognition API for manual control. Detailed Overview

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