Local Business Support Application Using AI and Real-Time Analytics

Abstract

Small-scale and local businesses often face difficulties in growing their reach due to lack of digital presence and limited access to modern technologies. Most of these businesses still depend on traditional methods such as physical visits and word-of-mouth marketing, which restrict their expansion.

To overcome these challenges, this project introduces a Local Business Support Application designed to connect nearby customers with local vendors through a simple and efficient digital platform. The system incorporates features like real-time alerts, intelligent chatbot assistance, personalized product suggestions, and predictive analytics for sales. The recommendation system is based on user behavior and product preferences.

The application utilizes modern technologies such as frontend frameworks (React JS or Java), backend services using Spring Boot, and Firebase for authentication and real-time data handling. AI-based chatbot systems and machine learning models are integrated to enhance user interaction and decision-making. Additionally, location- based services are enabled using Google Maps to improve accessibility and convenience.