Skip to content
View arpanpramanik2003's full-sized avatar
🎯
Deep Learning
🎯
Deep Learning
4 followers · 4 following

Block or report arpanpramanik2003

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
arpanpramanik2003/README.md

💻 About Me

👋 Introduction

Hi there! I'm Arpan Pramanik, a passionate developer and student specializing in Artificial Intelligence and Machine Learning (AIML). With a strong foundation in coding and a flair for problem-solving, I thrive on creating impactful solutions and exploring the latest technologies. Welcome to my GitHub profile! 🎉

🎓 Background

I am currently pursuing a B.Tech in CSE with AIML specialization at The Neotia University. My coding journey began in 2020, and over the years, I have gained hands-on experience in multiple domains, including web development, machine learning, and cybersecurity.

In addition to my academic pursuits, I recently completed a summer internship at DataSpace Academy, where I gained expertise in cybersecurity and VAPT.

🛠️ Skills

Here’s a snapshot of my technical arsenal:

Programming Languages

  • Python
  • JavaScript
  • C Programming
  • R Programming

Frameworks & Libraries

  • Flask, Django, FastAPI
  • Streamlit
  • HTML, CSS, JavaScript

Tools & Platforms

  • Git
  • MySQL
  • Docker
  • AWS

Additional Expertise

  • Cybersecurity and VAPT (Vulnerability Assessment and Penetration Testing)
  • Optimization Techniques
  • Debugging and Problem-Solving

🚀 Projects

Here are some highlights from my project portfolio:

🌟 Car Price Prediction

  • Model: Random Forest
  • Tech Stack: Streamlit, Python, Scikit-learn
  • Features: Predictive analysis with user-friendly deployment
  • Repository: View on GitHub

🔥 Calories Burnt Prediction

  • Tech Stack: Flask, HTML, CSS
  • Performance: Achieved MAE of 1.48
  • Features: Lightweight web interface for predictions
  • Repository: View on GitHub

🖥️ Portfolio Website

  • Tech Stack: HTML, CSS
  • Features: Modern and responsive design showcasing my projects
  • Repository: View on GitHub

Feel free to explore my repositories for more exciting projects!

🌐 Connect with Me

I’m always open to connecting with fellow developers and collaborating on innovative ideas. Reach out to me through:

Popular repositories Loading

  1. Jarvis-Voice-Assistant Jarvis-Voice-Assistant Public

    Jarvis is a Python-based voice assistant that uses speech recognition and text-to-speech technologies. It can search Wikipedia, open websites, play music, and control system functions like shutdown…

    Python

  2. Attendance--Tracker Attendance--Tracker Public

    A Python-based GUI application for managing student attendance using Tkinter. This program allows users to register students, mark attendance on a daily basis, and save records in a CSV file. The a…

    Python

  3. Car-Price-Prediction-Streamlit Car-Price-Prediction-Streamlit Public

    This project predicts car prices using a Random Forest model and a Streamlit web app for a user-friendly interface.

    Jupyter Notebook

  4. Diabetes-Prediction-Streamlit Diabetes-Prediction-Streamlit Public

    Diabetes Prediction using Machine Learning is a classification project that predicts the likelihood of diabetes based on health parameters such as age, BMI, and blood pressure. The model is built u…

    Jupyter Notebook

  5. Medical_Insurance_Cost_Prediction-Streamlit Medical_Insurance_Cost_Prediction-Streamlit Public

    This project predicts medical insurance costs based on user inputs such as age, gender, BMI, number of children, smoking status, and region. It uses a machine learning model (Random Forest by defau…

    Jupyter Notebook

  6. Calories_Burnt_Prediction_Using_Flask Calories_Burnt_Prediction_Using_Flask Public

    This project is a web-based application that predicts the calories burnt based on user inputs using a machine learning model. Built with Python, Flask, and scikit-learn, the app provides a simple a…

    Jupyter Notebook