About
Electronics and Telecommunication student with hands-on experience in IoT, embedded systems, robotics, and Python-based automation. Interested in building smart connected systems and interactive hardware projects.
Experience
-
Embedded and IoT InternIOBOT Technologies · Pune— – Present
Worked on display and PCB manufacturing, circuit designing, accelerometer programming, GPS device manufacturing, and EV display programming during the internship.
Education
-
B.E. in Electronics and Telecommunication EngineeringBharti Vidyapeeth College of Engineering, Lavale, Pune · SppuElectronics and Telecommunication Engineering · Sep 2025 – 2028
-
Diploma in Electronics and Telecommunication EngineeringElectronics and Telecommunication Engineering · Sep 2022 – Jun 2025
Skills
Tools / apps / platforms
Languages
Projects
-
Text-to-Image Generator using Hugging Face APIPython, Hugging Face API, Requests, PIL
Developed a Python application that generates images from text prompts using the Hugging Face API, with real-time input, API integration, HTTP requests, and image processing.
-
Voice Assistant using PythonPython, SpeechRecognition, pyttsx3, datetime, webbrowser
Developed a Python-based voice assistant capable of opening applications, searching the web, playing music, and providing real-time information through speech recognition and text-to-speech.
-
Interactive Companion RobotESP32, OLED Display, Capacitive Touch Sensor, Servo Motor, Arduino IDE
Designed an ESP32-based companion robot capable of displaying emotions on an OLED display and changing emotions interactively using a capacitive touch sensor.
-
IoT-Based Weather Monitoring SystemESP8266, Blynk Cloud, DHT11, BMP180, Rain Sensor, LDR, Arduino IDE, LCD Display
Developed a real-time weather monitoring system that measures temperature, humidity, barometric pressure, rainfall, and light intensity, with remote monitoring through Blynk Cloud and local display on a 16x2 LCD.
-
GPS-Based Location TrackerNEO-6M GPS module, Google Maps
Developed a real-time location tracking system using a NEO-6M GPS module and Google Maps integration, with live coordinates and movement tracking updated every 10 seconds.
-
Smart HelmetESP32, MQ-3 sensor, IR sensor, ADXL345 accelerometer, Telegram, relay, Google Maps
Designed and developed a helmet that ensures rider safety using an ESP32 microcontroller, with alcohol detection, wear detection, crash detection, Telegram alerts, motor ignition control, and location updates on a website integrated with Google Maps.
🏆 Achievements & awards
-
Filed a Patent for Smart Helmet Project
Filed a patent for the Smart Helmet project.
-
Runner-up in College-Level Quiz Competition
Secured runner-up position in a college-level quiz competition.