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Manul28/README.md

MasterHead

Hi πŸ‘‹, I'm Manul Rastogi

Passionate About Machine Learning & Data Science

Coding

πŸ‘¨πŸ»β€πŸ’» About Me :

  • 🏦 I'm a computer science student enrolled at VIT,Vellore and I am passionate about learning new technologies.
  • πŸ’» I enjoy working with Python,Django,Flask. I am well familiarised with Machine Learning Algorithm and Data Science
  • πŸ’¬ Talk to me about cricket, carrom, films and pretty much anything else.
  • πŸ‘― We can connect to play some games like CS-GO,AmongUS, Stumble Guys and Racing games.
  • πŸ‘”Interned as Software Intern at INMAS-DRDO and built a foundational prototype model for long distance file transfer and inventory management system GUI desktop app using tkinter, sqlite3 and a plethora of python libraries.
  • ☁Also diving into cloud and learning for AWS Cloud Practitioner and Google Cloud Digital Leader Exams.

Coding Profile:

Manul Rastogi Leetcode Stats

Badges

AWS Badges

AWS-Certified-Cloud-Practitioner AWS-Certified-Cloud-Practitioner

Cloud Digital Leader Badges

Google CDL Google CDL Google CDL Google CDL Google CDL

Connect with me:

Languages and Tools:

c cplusplus java matlab mysql opencv pandas python pytorch scikit_learn seaborn tensorflow

πŸ“Š GitHub Stats:

Manul28's GitHub | Stats

Hacktoberfest 2023 Board

An image of @Manul's Holopin badges, which is a link to view their full Holopin profile

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  1. AI_GYM-1 AI_GYM-1 Public

    AI-GYM DETECTION using Deep Learning and OpenCV

    Jupyter Notebook 1

  2. Flight_Price Flight_Price Public

    Flight Price Prediction using Machine Learning

    Jupyter Notebook

  3. IPL-prediction IPL-prediction Public

    IPL-prediction System using Machine Learning and Deployed on streamlit

    Jupyter Notebook

  4. Movie-Recommendation-System Movie-Recommendation-System Public

    Movie Recommendation System using ML (personally my first project)

    Jupyter Notebook

  5. ClipGist ClipGist Public

    ClipGist app that utilizes LangChain and Google PALM to generate concise summaries of YouTube videos, enhancing content accessibility and comprehension

    Python