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@SUBHADIPMAITI-DEV

Subhadip Maiti

SUBHADIPMAITI-DEV
Kolkata

Greetings potential sponsors! I am Subhadip Maiti, a determined individual hailing from West Bengal,India. Currently, I am engaged in an exciting project that demands my unwavering focus and dedication.

My project revolves around Automatic Fire Detection and Extinguish, Depression Detection in Deep Learning. With the aim of saving lives from those projects, I am leveraging my technical expertise in Machine Learning, artificial intelligence, IoT, and Robotics to make a significant difference.

However, I cannot emphasize enough the importance of your sponsorship in this endeavor. The funds you provide will play a pivotal role in those projects.

I genuinely believe in the power of collaboration, and your sponsorship would not only enable me to achieve my goals but also establish a long-lasting partnership between us. Together, we can make remarkable strides toward innovation and create a positive impact in the IT industry.

Thank you for considering my request for sponsorship. I am excited about the potential we have to make a difference together. Let's embark on this journey of innovation and create a brighter future.

@SUBHADIPMAITI-DEV

My goal is to assist users effectively by offering precise and insightful responses, helping them solve problems, learn new concepts, and achieve their objectives easily and confidently.

Featured work

  1. SUBHADIPMAITI-DEV/Automatic-Fire-Detector-and-Extinguisher

    This project involves developing an Automatic Fire Detection and Extinguishing system using C++ in the Arduino IDE. It aims to mitigate risks to human lives and minimize property damage by providin…

    C++ 3
  2. SUBHADIPMAITI-DEV/Speech-Recognition-Alexa

    A simple Python script that uses various libraries for speech recognition and text-to-speech to create a basic virtual assistant similar to Alexa. The script allows users to interact with the virtu…

    Python 14
  3. SUBHADIPMAITI-DEV/Depression-Detection-System-Using-Machine-Learning

    This project develops a Depression Detection System using Machine Learning on Twitter data. It predicts depression by analyzing tweets with SVM, Logistic Regression, Decision Trees, and NLTK in Pyt…

    Jupyter Notebook 14
  4. Python 6

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