About

Building things that bridge software and the physical world — bare-metal firmware, real-time sensor fusion, and IoT systems that talk to the world without needing the cloud to hold their hand.

• Embedded Systems — bare-metal C/C++, RTOS, microcontroller firmware
• IoT — MQTT, Wi-Fi, BLE, ESP-NOW, edge computing
• Sensor Integration — I2C, SPI, UART communication stacks
• Web & Backend — React, Node.js, MongoDB, Firebase
• Location — Odisha, India, open to remote collaboration

Languages & Tools

Languages	C C++ Rust Python Java JavaScript Go
Frontend	React CSS
Backend	Node.js Express
Databases	MongoDB Firebase
Testing	Jest
Platforms	ESP32 Arduino Raspberry Pi Linux
Protocols	I2C SPI UART MQTT Wi-Fi BLE
CS Core	DAA DBMS Data Structures
Other	VLSI Data Analytics AI / ML

Featured Builds

_{The six hardest and most complete systems in the repo list — picked for technical depth, not novelty.}

Smart Pressure-Ulcer Prevention System The most architecturally ambitious build in the list. A closed-loop clinical IoT system predicting and preventing bedsores in bedridden patients — dense capacitive sensor mat, FPGA-based edge AI inference, and an STM32H7 running FreeRTOS underneath an animated web dashboard. FPGA STM32H7 FreeRTOS Edge AI	SolarGuard Pro — Wireless Solar Farm Monitor Two ESP32s talking peer-to-peer over ESP-NOW, five sensors deep, driving eleven OLED screens like a rotating control-room dashboard. No Wi-Fi, no cloud — pure mesh telemetry. ESP32 ESP-NOW Multi-sensor OLED
AI Refrigerator Inventory System A camera and weight-sensor driven inventory system for reducing food waste — identifies items, predicts expiry, and auto-generates shopping lists, running across ESP32 and Raspberry Pi. Computer Vision ESP32 Raspberry Pi Predictive AI	AccidentGuard A wearable that detects vehicle or personal accidents automatically, tracks location via GPS, and calls for help if you don't respond — built on ESP32, ADXL345 accelerometer, and a NEO-6M GPS module. ESP32 ADXL345 GPS Safety
RF Interceptor — 2.4GHz Packet Sniffer A protocol-level teaching build for understanding wireless communication at the packet layer — sniffing and decoding traffic across the 2.4GHz band. RF Packet Analysis Wireless Protocols	AutoAttend — ESP32 RFID Attendance A full automatic attendance pipeline — students tap an RFID card at the door, the system logs entry and exit timestamps and calculates attendance, all on an ESP32 with an MFRC522 reader. ESP32 MFRC522 RFID Automation

GitHub Stats

Activity Graph

Contact