Dynamic Local Market Price Notifier: A Web Application for Real-Time Commodity Price Awareness and Prediction

Small traders and farmers experience challenges in accessing real-time and correct information regarding changing market prices of farm products, which in most cases results in poor sales and reliance on middlemen. This paper introduces the Dynamic Local Market Price Notifier, a web application that provides real-time price information, localized SMS alerts, and predictive advice. The system allows market administrators to change commodity prices via dashboard or SMS gateway, with farmers notified filtered within a 10 km area using geolocation. Historical price data is processed by a regression-based machine learning model to forecast next-day price trends, aiding improved decision-making. The app is built on the foundation of PHP for server-side computations, MySQL for database management, Fast2SMS API for real-time notifications, and Google Maps API for geographical filtering, and a translation API for regional language support. The innovation here is the integration of real-time localized updation with predictive analytics, thereby improving accessibility, transparency, and profitability for the farm community.