AI-Powered Real Estate CRM | Full-Stack Web Application

I developed an AI-powered Real Estate CRM platform designed to help real estate professionals manage properties, organize client leads, and streamline their sales process from one centralized dashboard.

The goal was to build a practical system that reduces manual work and makes it easier for agents to connect potential buyers and renters with suitable properties.

Built a centralized lead management system where agents can store client information, track budgets and preferred locations, and organize potential customers using search, filtering, and sorting.

Integrated an AI assistant using the Groq LLM API that searches available property listings based on client requirements, including location, budget, property type, and bedrooms. The assistant can recommend relevant properties and create leads for interested clients.

Developed a structured sales pipeline that tracks leads through different stages, from New and Contacted to Qualified, Negotiating, Won, or Lost.

Created a searchable property catalog supporting residential and commercial listings, with advanced filtering and property details.

Implemented follow-up scheduling for calls, emails, SMS, WhatsApp, and meetings. Added AI-generated follow-up drafts to help agents communicate with clients more efficiently.

I built the frontend using React, Vite, React Router, and Tailwind CSS, focusing on a responsive interface and smooth navigation.

The backend was developed using Python, Django, and Django REST Framework, with REST APIs connecting the frontend to the CRM's core features.

For AI functionality, I integrated the Groq LLM API with tool calling, allowing the assistant to search properties, create leads, and schedule follow-ups through backend operations.

The application supports SQLite for local development and PostgreSQL through configurable database settings.

Frontend: React, Vite, Tailwind CSS, React Router, Axios

Backend: Python, Django, Django REST Framework

Database: SQLite / PostgreSQL

AI Integration: Groq LLM API, Tool Calling

Additional: REST APIs, django-filter

The result is a full-stack real estate CRM that combines property management, lead tracking, sales pipeline visibility, follow-up scheduling, and AI-assisted workflows in one application.