Category: Software
Organization: Ministry of Consumer Affairs, Food and Public Distribution
Abstract
The project proposes developing an AI-ML Based Price Prediction Model for agri-horticultural commodities using Python. The model will forecast prices of essential commodities like pulses and vegetables.
Features
- Time Series Analysis: Use ARIMA models and other machine learning algorithms to predict price trends.
- Market Data Integration: Incorporate real-time market data, historical prices, and supply chain factors into the model.
- Decision Support System: Provide actionable insights for market interventions and buffer stock management.
Expected Outcome: Accurate price predictions will help stabilize markets, prevent price volatility, and support strategic planning for both farmers and government agencies.
View more: Top 10 Problem Statements with Solution Ideas for Smart India Hackathon 2024 on Agriculture, Food Tech & Rural Development
3 comments