RealEstatePlanAndApprovalsMumbai

Introduction

The RealEstatePlanAndApprovalsMumbai project aims to create a comprehensive platform for managing and accessing real estate planning and approval data specifically for Mumbai, India. This project will focus on providing reliable data collection, cleaning, historical records, and useful filters for professionals in the real estate industry.

System Overview

The system will be designed to cater to professionals seeking detailed information on commercial property transactions, construction permits, development approvals, and government tenders in Mumbai. The platform will offer features such as searchable databases, valuable filters, saved searches, email alerts, and CSV export capabilities.

Functional Requirements as Story Points

• As a Real Estate Professional, I should be able to search for commercial property transactions in Mumbai.
• As a Developer, I should be able to access construction permits and development approvals in Mumbai.
• As a Contractor, I should be able to view government tenders for local projects in Mumbai.
• As a User, I should be able to apply filters to refine search results.
• As a User, I should be able to save searches for future reference.
• As a User, I should be able to receive email alerts for new data matching my saved searches.
• As a User, I should be able to export search results to CSV format.

User Personas

• Real Estate Professional: Individuals or companies involved in buying, selling, or managing commercial properties.
• Developer: Entities involved in the construction and development of real estate projects.
• Contractor: Local contractors looking for government tenders and projects.
• General User: Any user interested in accessing real estate data for analysis or decision-making.

Core User Flows

• Real Estate Professional searches for property transactions -> applies filters -> saves search -> receives email alerts -> exports data to CSV.
• Developer accesses construction permits -> reviews development approvals -> saves relevant data -> exports to CSV.
• Contractor views government tenders -> applies filters -> saves search -> receives email alerts.

Visuals Colors and Theme

• primary: #004d40 (Teal)
• primary_light: #39796b (Light Teal)
• secondary: #ffab00 (Amber)
• accent: #d32f2f (Red)
• highlight: #fbc02d (Yellow)
• bg: #f5f5f5 (Light Grey)
• surface: #ffffff (White)
• text: #212121 (Dark Grey)
• text_muted: #757575 (Grey)
• border: #e0e0e0 (Light Grey)

Signature Design Concept

The homepage will feature an interactive map of Mumbai, highlighting key areas of interest for real estate professionals. Users can click on different regions to view detailed data on property transactions, permits, and tenders. The map will dynamically update as users apply filters, providing a visual representation of the data. This will be achieved using motion/react for smooth transitions and interactions.

Landing Hero Motion Brief

The landing page will feature a continuously moving 2D illustration of Mumbai's skyline, with animated elements representing construction cranes, property icons, and data points. As users scroll, the skyline will transform to reveal detailed information about real estate activities in Mumbai. The animation will loop every 10 seconds, with interactive elements allowing users to explore specific data points.

Interaction Model & Motion Direction

• Intended Interaction Model: Animated
• The landing page will feature moderate scroll-triggered reveals and hover transitions, with spring physics on interactive elements to enhance user engagement.

Non-Functional Requirements

• The system must ensure data accuracy and reliability.
• The platform should be scalable to accommodate future expansion to other cities.
• The system must comply with data licensing and scraping regulations.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB
• AI Tools: Litellm for LLM Routing, Langchain
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

Assumptions and Constraints

• The initial focus is on Mumbai, India, with potential expansion to other cities.
• Data licensing and scraping restrictions must be carefully managed.
• The platform should provide a user-friendly interface despite the complexity of the data.

Glossary

• CSV: Comma-Separated Values, a file format for data export.
• LLM: Large Language Model, used for AI-driven data processing.
• RDBMS: Relational Database Management System, used for structured data storage.

This document outlines the system requirements for the RealEstatePlanAndApprovalsMumbai project, focusing on providing a robust platform for real estate professionals in Mumbai.