Blynk IoT Smart Plant Monitoring System
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Summary
Designed an automated irrigation system using IoT and live sensor data, utilizing ESP8266, Soil Moisture Sensor, DHT11, and the Blynk App.
Highly motivated final-year Electronics and Telecommunication Engineering student with robust hands-on experience in Embedded Systems, IoT, and C/C++ programming. Proven ability to develop and debug real-time systems, as demonstrated by reducing bugs by 40% and achieving 90%+ timing accuracy in projects. Seeking an internship or graduate trainee role to leverage expertise in real-time protocols and contribute to innovative industrial solutions.
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B.Tech
Electronics and Telecommunication Engineering
Grade: CGPA (7th Sem): 7.28
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HSC
Science
Grade: GPA: 86.50%
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SSC
General Studies
Grade: GPA: 78.60%
Internship Trainee (Embedded Systems Intern)
Bangalore, Karnataka, India
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Summary
As an Embedded Systems Intern, I gained hands-on experience in Embedded C and microcontroller interfacing, developing and debugging real-time system designs.
Highlights
Spearheaded the development of a simulated Automatic Washing Machine project using PIC16F877A and PICSimLab, adhering to SDLC principles.
Engineered and implemented control logic incorporating timers, interrupts, and FreeRTOS-based task scheduling for real-time system functionality.
Utilized FreeRTOS and MPLAB X IDE for comprehensive debugging and testing of real-time behavior, successfully reducing system bugs by 40%.
Achieved 90%+ timing accuracy in system operations while enhancing proficiency in UART, I2C, and SPI protocols.
C, C++, Embedded C.
Arduino, ESP32, ESP8266, PIC (PIC16F877A).
Arduino IDE, MPLAB X IDE, VS Code, GitHub, PICSimLab, Blynk App.
Windows, FreeRTOS.
Real-time System Design, Microcontroller Interfacing, Debugging, Task Scheduling, UART, I2C, SPI Protocols, SDLC Concepts, Simulation Tools.
IoT System Design, Sensor Integration, DHT11, Soil Moisture Sensor.
Wireless Robotic Control, Gesture Control, MPU6050, NRF24L01, L298N Motor Driver, Low-latency HMI.
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Summary
Designed an automated irrigation system using IoT and live sensor data, utilizing ESP8266, Soil Moisture Sensor, DHT11, and the Blynk App.
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Summary
Designed a wireless robotic vehicle controlled via hand gestures using an MPU6050 accelerometer, Arduino Nano, NRF24L01, and L298N Motor Driver.