Final Year Project

Project Title

AgriVerse

Description

AgriVerse is a comprehensive agricultural insights system designed to predict commodity prices and provide actionable intelligence to farmers, traders, and policymakers in Pakistan. Leveraging historical price data alongside external factors such as weather conditions, inflation rates, trade policies, imports, and exports, AgriVerse employs advanced sequential machine learning models to generate accurate six-month price forecasts across hundreds of stations nationwide. The system is accessible through a user-friendly web platform that visualizes key financial indicators, market trends, and external economic factors. Additionally, AgriVerse integrates an AI-powered chatbot capable of providing actionable insights based on real-time and historical data. With a vision to evolve into a full-fledged financial assistant for stakeholders in the agricultural sector, the platform aims to enhance data-driven decision-making, optimize market strategies, and improve financial planning for all users.