AI-Powered Flat Finder: A Real Estate Search Assistant using Gemini, React, and Firebase
ABSTRACT — The real estate industry is increasingly leveraging artificial intelligence to enhance property discovery and decision-making. This paper presents a web-based application that serves as an AI-powered flat-finding assistant. Built using ReactJS for the frontend, Gemini (Google’s generative AI) for conversational intelligence, and Firebase for backend and database management, the application enables users to interact with a chatbot to find flats matching their preferences. The system allows users to ask natural language questions, which are interpreted by Gemini AI, and matched with property listings stored in Firebase. A custom training layer is added to Gemini to ensure relevant and consistent answers based on predefined intents. The paper details the architecture, data flow, and interaction design of the platform, emphasizing real-time communication and personalized responses. This work illustrates how AI-driven interfaces can modernize property searches, improve client engagement, and streamline real estate operations. Keywords — Real Estate, Artificial Intelligence, Gemini AI, Firebase, ReactJS, Flat Finder, Property Recommendation, Chatbot.
Authors
- Ashutosh Shukla (ORCID: https://orcid.org/0000-0002-3378-6324)
Institutions
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
- Published
- 2025-05-24
- DOI
- https://doi.org/10.55041/ijsrem48549
- Primary Topic
- Image Processing and 3D Reconstruction
- Type
- article
- Field-Weighted Citation Impact
- 0.00