OLOREAL: A Multidisciplinary Framework for Data-driven Real Estate Innovation
R Ramesh
Department of Information Technology, Sreenidhi Institute of Science and Technology (Autonomous), Hyderabad, India.
Lasya Janagama
Department of Information Technology, Sreenidhi Institute of Science and Technology (Autonomous), Hyderabad, India.
Sriramula Susritha
*
Department of Information Technology, Sreenidhi Institute of Science and Technology (Autonomous), Hyderabad, India.
*Author to whom correspondence should be addressed.
Abstract
OLOREAL is a next-generation real estate management platform developed on the OLONIX AI platform, aimed at transforming and streamlining the property ecosystem. By incorporating cutting-edge technologies like Artificial Intelligence (AI), Machine Learning (ML), Big Data Analytics, Cloud Computing, and Blockchain, OLOREAL hopes to enhance transparency, efficiency, and decision-making for all stakeholders in the real estate sector like landlords, tenants, agents, investors, and financial institutions. The platform consists of four primary modules: PropSearch, RentLeaseShare, RealAgentCRM, and FinTechReal, each targeting critical elements in the real estate lifecycle such as property search, leasing, customer relationship management, and safe financial transactions.
With Microsoft Azure's cloud infrastructure and features such as Data Lake Storage, Databricks, and Power BI, OLOREAL provides unified data ingestion, processing, and real-time visualization. Its AI-driven, blockchain-powered smart contracts deliver safe, tamper-free transactions, with AI-powered intelligent suggestions and paperless automations elevating the user experience. Through facilitation of digital engagement and contactless interaction, OLOREAL keeps pace with shifting post-pandemic business practices. With a single, data-based solution, stakeholders can streamline operations, decrease operational costs, and make more informed decisions, placing OLOREAL in a next-gen, scalable real estate platform.
Keywords: OLOREAL, Artificial intelligence, blockchain, real estate technology, big data analytics, cloud computing