This web platform seamlessly combines property management, intelligent prediction, and mobile-first design to streamline the process of listing and evaluating real estate.

In EmotionalChat, RAGs ground conversations in realistic contexts (e.g., therapy or work), reduce hallucinations, maintain consistent emotional tone, and personalize interactions based on user context. This combination of emotion-driven design and RAG-enhanced grounding results in a powerful, research-ready tool for affective computing and HCI.

Intelligent Data Handling and Predictive Modeling

At the administrative level, the platform allows managers to:

• Input detailed property descriptions
• Upload corresponding images
• Automatically fetch geolocation data and contextual metadata via Google Maps

Once entered, the data is processed by a predictive model that evaluates the property based on its characteristics and location. The model outputs estimations such as market value or rental potential, offering actionable insights for decision-makers.

Human Feedback and Reinforcement Learning

The system includes a human-in-the-loop mechanism. After a prediction is generated, an administrator reviews the output and provides feedback where necessary. This feedback is incorporated into a reinforcement learning loop, allowing the model to continuously improve its accuracy over time based on human evaluations.

Optimized for Mobile and Usability

The platform is fully responsive and tailored for smartphones and tablets. Key features include:

• Clean, mobile-optimized layout
• Filtering options to refine search results
• Interactive map integration
• Detailed views for each listing with images and precise location data

Sample images from the website

(Beta version)