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

Extension Version

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