- Backend Developer
- Machine Learning Enthusiast
- Electronics Engineer
My Works
Blog Webside
Developed a full-stack blog website using the MERN stack (MongoDB, Express.js, React.js, Node.js). Implemented user authentication, and CRUD operations for blogs and user profiles.
Heart Disease Prediction Web App
Built with Flask, this web application enables users to input key health metrics and predicts the likelihood of heart disease. Users provide details such as age, blood pressure, cholesterol levels, and exercise habits. The application processes this data using a pre-trained machine learning model and displays the prediction on the user interface.
Quality Evaluation of Black Pepper Using Machine Vision and Learning
Developed a machine vision system for classifying black pepper samples by quality. Captured images of different samples and extracted features like RGB and grayscale values. Used PCA for dimensionality reduction. Employed lAchieved reliable quality evaluation, providing valuable insights for the agricultural sector.
iTask
iTask is a simple and intuitive todo application built using React. With iTask, you can easily manage your tasks, keeping track of everything you need to do.
About Me
Hello, my name is Subhadip Chakraborty. I am currently pursuing a B.Tech in Electronics Communication Engineering from Aliah University, Kolkata, where I have gained a strong foundation in electronics and telecommunication principles. Prior to this, I completed a diploma in Electronics and Telecommunication Engineering from Ramakrishna Mission Shilpamandira, with an impressive 86% score.
Throughout my academic journey, I have proactively sought practical experiences to complement my theoretical knowledge. I completed vocational training with South Eastern Railway in Kharagpur, where I gained insights into the practical aspects of electronics and telecommunication. Additionally, I interned at Flynn Labs, focusing on machine learning, which further solidified my interest and skills in this cutting-edge field. My internship at Prasar Bharati, India’s public service broadcaster, provided me with a unique perspective on the broadcasting industry.
In terms of projects, I have worked on several noteworthy ones that highlight my technical skills and problem-solving abilities:
- Developed a full-stack blog website using the MERN stack (MongoDB, Express.js, React.js, Node.js), implementing user authentication and CRUD operations for blogs and user profiles.
- Built a heart disease prediction web app using Flask, which allows users to input key health metrics and predicts the likelihood of heart disease using a pre-trained machine learning model.
- Created a personal portfolio website using HTML, CSS, and JavaScript, hosted on GitHub Pages, to showcase my projects, skills, and experiences.
- Developed a machine vision system for classifying black pepper samples by quality, utilizing machine learning models and convolutional neural networks (CNNs) with MobileNetV2 for feature extraction.
My technical skill set includes programming languages such as Python and JavaScript, and I am proficient in web development technologies like Flask, React.js, HTML, CSS (Bootstrap, Tailwind CSS), and Node.js with Express.js. In the realm of machine learning, I have hands-on experience with tools like NumPy, pandas, scikit-learn, Matplotlib, and TensorFlow.
I am passionate about continuous learning and staying updated with the latest advancements in technology. I enjoy tackling complex problems and developing innovative solutions that can have a real-world impact. My projects and internships have not only honed my technical skills but also taught me the importance of teamwork, time management, and adaptability.
Contact Me
If you have any questions or would like to get in touch, please feel free to reach out to me through the contact details below. I look forward to hearing from you!