Real Estate ROI Forecaster

On Medha IT Works' eProperty – Our Real Estate Listing & Management Platform

At Medha IT Works, we guide learners to solve data-driven challenges across industries through applied AI & ML. As part of our PropTech-focused AI training, this capstone project is titled:

AI-Based Property Valuation and ROI Insights Using AI & ML

This project is developed on eProperty, our intelligent platform for real estate listing, management, and analytics. Learners will build machine learning models that estimate property market value and generate insights into investment returns — empowering smarter decisions for buyers, investors, and agents.

Project Overview for Learners

In this hands-on project, learners will:

• Analyze property usage patterns, maintenance logs, equipment age, and complaint frequency
• Build predictive models to forecast likely failures or service needs before they occur
• Set up automated alert systems that notify property managers of maintenance risks

This hands-on project helps learners apply AI to reduce reactive service calls and introduce intelligent maintenance planning — a key advantage in modern property management.

eProperty: Smarter Real Estate Through AI

Medha IT Works’ eProperty platform captures rich structured data across listings, transactions, rental incomes, and locality-level metrics. This provides the ideal dataset for applying predictive analytics to property valuation and investment analysis.

Core Modules Learners Will Work With

Property & Equipment Profiles

Track appliances, HVAC units, lifts, and utility systems with details like installation dates, usage frequency, and expected lifespan.

Maintenance & Issue Logs

Use historical service requests, recurring issues, and repair timelines to build model features.

Usage Monitoring

Incorporate tenant usage trends (e.g., electricity, water, elevator usage) as signals of wear and strain.

Alert & Notification System

Automatically trigger alerts for scheduled inspections or proactive servicing based on AI predictions.

Analytics Dashboard

Show maintenance forecast reports, urgency levels, and recommended interventions across properties.

AI/ML Use Case Benefits: What Learners Will Achieve

By completing this project on eProperty, learners will:

• Apply supervised ML models (e.g., linear regression, decision trees, XGBoost) to estimate property prices
• Engineer features from diverse data types including spatial, economic, and asset-based inputs
• Use regression and ROI formulas to generate investment advice
• Build user-friendly dashboards showing smart pricing and investment performance
• Gain real-world experience in building FinTech-PropTech hybrid applications

Final Outcome:

An AI-powered valuation and ROI engine integrated into the eProperty platform — providing actionable insights to vendors, buyers, and real estate investors, while equipping learners with practical ML modeling skills in one of the most dynamic sectors.