User-name: admin Password: password Contributors : Gautam Babel Jain Gourav Mital

📊 Project Description: Sales Prediction Web App This project is a React-based web application designed to predict future sales using historical data. It provides an intuitive interface for businesses and analysts to forecast demand and make data-driven decisions.

🔑 Key Features Sales Forecasting: Predicts future sales trends using past performance data.

Univariate & Multivariate Support:

Univariate: Forecasts based on a single variable (e.g., past sales).

Multivariate: Incorporates multiple influencing factors (e.g., promotions, seasonality, external variables).

Advanced Models:

SARIMAX (Seasonal AutoRegressive Integrated Moving Average with eXogenous factors) for time-series forecasting.

Random Forest Regression for robust, non-linear predictions.

Interactive UI: Built with React, ensuring a responsive and user-friendly experience.

Visualization: Displays historical trends and predicted values through clear charts and graphs.

🎯 Purpose The application empowers users to:

Anticipate sales fluctuations.

Optimize inventory and resource planning.

Compare different forecasting models for accuracy and reliability.