🚀 Live Demo: https://streetbase.streamlit.app/
- House Price Prediction
- Firebase Authentication
- Property Analytics
- Streamlit Dashboard
StreetBase is an AI-powered real estate platform designed to help users make smarter property decisions through Machine Learning and Data Analytics.
The platform predicts house prices, compares properties, calculates EMIs, provides AI-generated interior visualizations, and delivers real-time real-estate insights through a user-friendly interface.
StreetBase also includes an intelligent virtual assistant that guides users through all platform features.
Property buyers often face challenges such as:
- Lack of accurate property pricing
- Difficulty comparing multiple properties
- Complex loan calculations
- Limited access to market insights
- No centralized platform for property analysis
StreetBase solves these problems by integrating AI-powered tools into a single platform.
- Predicts property prices instantly
- Supports multiple states and cities across India
- Uses Machine Learning models trained on real-estate datasets
- Generates AI-backed estimates based on location and property type
- Compare two properties side-by-side
- Cross-city property comparison
- Analyze:
- Price
- Location
- Property Details
- EMI Differences
- Loan EMI calculation
- Adjustable interest rates
- Adjustable tenure period
- Instant payment estimation
- AI-generated interior visualization
- Home styling inspiration
- Multiple design concepts and layouts
- Save favorite properties
- Quick access to shortlisted properties
- View previous predictions
- Track user activities
- Latest housing trends
- Market updates
- Property insights
- Website navigation assistance
- User guidance
- Feature discovery support
- Request property quotes
- User feedback management
- Support communication
- Real-estate housing dataset
- Approximately 50,000+ records
- Location-based property information
- Property type information
- Historical pricing data
- Data Cleaning
- Missing Value Handling
- Feature Engineering
- Encoding Categorical Features
- Model Training
User Input
↓
Data Preprocessing
↓
Feature Encoding
↓
ML Prediction Model
↓
Predicted House Price
- Streamlit
- Python
- Scikit-Learn
- NumPy
- Pandas
- Plotly
- Matplotlib
- Seaborn
- OpenAI API
- Sentence Transformers
- Transformers
- PyTorch
- Pillow
- PyPDF2
StreetBase/
│
├── app.py
├── requirements.txt
├── dataset/
├── models/
├── assets/
├── pages/
├── utils/
├── login/
├── README.md
│
└── .streamlit/
git clone https://github.com/your-username/StreetBase.git
cd StreetBasepython -m venv venvvenv\Scripts\activatesource venv/bin/activatepip install -r requirements.txtstreamlit run app.pyUser
↓
Enter Property Details
↓
Price Prediction Model
↓
Estimated Property Value
↓
Compare Houses
↓
Calculate EMI
↓
Visualize Interiors
↓
Save Favorites
↓
Read Market Insights
- Faster property analysis
- AI-backed pricing estimates
- Improved decision making
- Centralized real-estate platform
- User-friendly interface
- Personalized experience
- Rental Price Prediction
- Property Value Forecasting
- Live Market Data Integration
- Property Price Alerts
- Recommendation System
- Mobile Application
- Advanced Analytics Dashboard
20 Members
Project developed collaboratively under the guidance of project mentors and faculty supervisors.
Rama Krishna
✅ AI-Powered Real Estate Platform
✅ 50,000+ Property Records Used
✅ Machine Learning Based Prediction Engine
✅ Interactive Streamlit Web Application
✅ EMI Calculator
✅ Property Comparison Tool
✅ AI Interior Visualization
✅ Virtual Assistant Integration
This project is developed for educational, research, and academic purposes.
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