Hi I'M Sujal Pagade
B.Tech Student At Mumbai University
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About Me

I am currently pursuing a Bachelor of Engineering in Electronics and Telecommunication at Vivekanand Education Society's Institute Of Technology. I have a strong passion for new technologies and innovation, and I enjoy exploring emerging trends that shape the future of the tech world. My academic journey is driven by curiosity, creativity, and a desire to build solutions that make a real impact. Through this portfolio, I aim to showcase my skills, projects, and continuous growth in the field.

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Skills

  • C
  • C++
  • SQL/MySQL
  • HTML
  • CSS
  • JavaScript
  • Git/Github
  • Problem Solving

Projects

Automated Vaccum Cleaner

Problem Statement:
Manual vacuum cleaning is time-consuming and requires constant effort, making it inefficient for daily use in busy households or large areas. There is a need for an automated solution that can clean independently and adapt to different environments.
Description:
An automated vacuum cleaner is a smart device that cleans floors with minimal human effort. Using sensors and programmed algorithms, it navigates spaces, avoids obstacles, and adjusts its cleaning path. Compact and efficient, it saves time while maintaining a clean environment.

Writing Machine

Problem Statement:
Manual writing tasks can be repetitive, time-consuming, and prone to human error, especially when large volumes of text or precise handwriting are required. There is a need for an automated system that can write accurately and efficiently without human fatigue.
Description:
A writing machine is an automated device designed to replicate human handwriting using programmed instructions. It consists of a mechanical arm or motorized setup that holds a pen and moves across paper to write text line by line. Controlled by microcontrollers and preloaded data, the machine can produce neat, consistent writing, making it ideal for applications like note replication, exam writing for differently-abled individuals, or repetitive documentation tasks.

NanoVoice: ESP32-Powered AI Companion

Problem Statement:
Traditional voice assistants often rely on cloud processing, which can lead to latency, privacy concerns, and dependence on internet connectivity. There is a need for a compact, offline-capable, and affordable AI-powered voice assistant that can function efficiently in real-time using minimal hardware resources.
Description:
NanoVoice is a compact AI companion powered by the ESP32 microcontroller, designed to offer intelligent voice interaction without relying heavily on cloud services. It integrates components like a MEMS microphone, speaker, and I2S-based amplifier to enable real-time voice recognition and response. Using lightweight AI models and efficient edge processing, NanoVoice performs tasks such as answering queries, executing commands, and providing audio feedback. Its portability, low cost, and offline capability make it ideal for smart home control, educational tools, or personalized assistants in embedded systems.


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