Skip to content

Latest commit

 

History

History
43 lines (31 loc) · 1.41 KB

File metadata and controls

43 lines (31 loc) · 1.41 KB

Codeforces-Rating-Predictor

Overview

The Codeforces Rating Predictor is a machine learning model designed to estimate a programmer's Codeforces rating based on various factors such as problem-solving skills, contest performance, consistency, and other relevant metrics. This project leverages historical data and predictive analytics to provide an accurate and reliable rating prediction.

Features

  • Predictive Modeling: Uses advanced machine learning algorithms to forecast Codeforces ratings.
  • Data-Driven Insights: Analyzes multiple factors affecting performance and ratings.
  • User-Friendly Interface: Easily input data and receive predictions.
  • Customizable Factors: Allows adding or removing variables to tailor the prediction model.

Deployment Link

https://codeforces-rating-predictor-two.vercel.app/

Technologies Used

  • Python
  • Flask

Installation

  1. Clone the repository:
    git clone https://github.com/OmAmar106/Codeforces-Rating-Predictor.git
  2. Navigate to the Project Directory
    cd Codeforces-Rating-Predictor
  3. Run the Program
    pthon main.py

Images

image

image

Extension Version

https://github.com/OmAmar106/Codeforces-Rating-Predictor-Extension