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Hey there, I'm Rajas Bhingarde! 👋

I'm a passionate electrical engineering student with a knack for coding microcontrollers, diving into IoT projects, and revolutionizing industries through automation. Here's a bit about my journey:

About Me

  • 📚 I'm currently pursuing my Bachelor's in Electrical Engineering at University of Mumbai.
  • 💡 My main interests lie in coding microcontrollers (Arduino, ESP32, ESP8266), and leveraging them for IoT applications.
  • 🌐 I'm fascinated by the potential of IoT and how it's shaping industries and daily life.
  • 🖥️ I'm proficient in CAD for PCB designing and enjoy creating 3D models for various projects.

Skills

  • ⚙️ Coding: C++, Python
  • 🛠️ Tools: Arduino IDE, Eagle, Fusion 360
  • 🤖 Microcontrollers: Arduino, ESP32, ESP8266
  • 💡 IoT Platforms: Blynk IoT, Thing Speak

Fun Facts

  • 🎵 I'm a fan of Eminem and Linkin Park.
  • 🎮 In my free time, you'll often find me playing games like Minecraft, CS:Go, Call of Duty Warzone, and GTA Online.
  • 📸 You can catch up with me on my Instagram.

Thank you for getting to know me! I'm looking forward to collaborating on exciting projects and exploring new horizons. Let's make a difference together! 😊

RAJAS BHINGARDE's Projects

face-recognition-system icon face-recognition-system

This project involves the development of a face recognition system using deep learning and computer vision techniques. The system allows users to upload images and get predictions on the identity of the person in the image.

social-media-counter icon social-media-counter

A Raspberry Pi-based social media follower counter, cycling through Facebook, Twitter, Instagram and YouTube accounts with follower counts displayed on a colour LED display.

speech-recognition icon speech-recognition

This repository implements a speech recognition system using data science techniques. It utilizes the LibriSpeech dataset, spectrogram analysis, and Hidden Markov Models (HMMs) to convert speech to text. Key functionalities include audio file processing, feature extraction, model training, and performance evaluation.

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