Verdant Insights is a web application that predicts future average sales values for agri-horticulture commodities in India using time series analysis and machine learning models like ARIMA and SARIMA. By selecting various parameters, users can access predicted or historical sales values, assisting stakeholders in making informed decisions about commodity prices.
Access the project here: https://verdant-insights.netlify.app/
- Accurate Price Predictions: Provides insights into future price trends of essential commodities.
- User-Friendly Interface: Easy navigation to access predictions and insights.
- Data-Driven Insights: Uses machine learning algorithms tailored for agricultural price forecasting.
- Zone, Season, and Commodity Selection: Users can specify the geographical zone, season, and commodity type to tailor predictions.
- Date Selection: Users can select a specific year and month to view either historical data or a prediction.
- ML Models for Prediction: The app utilizes time series models, ARIMA and SARIMA, for accurate forecasting.
- Results Display: Displays predicted or historical sales prices based on input parameters.
-
Login Page
-
Home Page
-
Buffer Stock Management
-
Accurate Predictions
-
Prediction Page
-
Prediction for "Gram dal" in the "West" zone for "Autumn"
-
Prediction for "Gram Dal" in the "North" zone for "Winter"
-
- Advanced Models: Future versions may include model improvements with additional parameters.
- Real-Time Data: Incorporation of live data updates.
- Expanded Commodity List: Add more commodities to address broader user needs.
Verdant Visionaries