AI-Powered Real Estate Assistant Development
Budget: $3,000 – $5,000 USD
? Freelancer Job Posting – Build AI-Powered Real Estate Assistant (Nexa AI)
? Job Title:
Develop Nexa AI – A Real Estate AI Agent with WhatsApp, Calls & CRM Integration
? Job Description:
We are looking for an experienced AI & Full-Stack Development Team to build Nexa AI, an AI-powered real estate assistant that can chat, make calls, send WhatsApp voice notes, and handle Zoom meetings.
This project will be built as a SaaS-based AI system, capable of handling lead nurturing, client interactions, follow-ups, and CRM synchronization with DXBA.com and other real estate platforms.
?️ Tech Stack & Project Scope
✅ Backend: Python (FastAPI) or Rust (Axum) for high-performance AI processing.
✅ AI Model: GPT-4 API (or Claude 3 for cost reduction) with Pinecone for memory.
✅ Database: PostgreSQL (structured data) + MongoDB (unstructured).
✅ Speech Processing: Whisper API (speech-to-text) + ElevenLabs (text-to-speech).
✅ WhatsApp AI: Twilio API + Meta Business API for messaging & voice notes.
✅ Phone Calls AI: Twilio Voice API for AI-powered calls.
✅ CRM Integration: HubSpot API / Salesforce API for lead tracking.
✅ Frontend: Next.js (React) with Tailwind CSS for modern UI/UX.
✅ Cloud Hosting: DigitalOcean Kubernetes or AWS Lambda for scalable deployment.
? Key Features & Development Phases
? Phase 1 – AI Core & Backend (Weeks 1-8)
✅ Implement AI chatbot & memory system (Pinecone + GPT-4 Turbo).
✅ Develop FastAPI backend for AI API handling.
✅ Connect PostgreSQL + MongoDB for lead tracking & CRM sync.
? Phase 2 – AI Communication Features (Weeks 9-16)
✅ Integrate WhatsApp AI messaging & voice notes using Twilio & Meta API.
✅ Enable AI-powered phone calls & real-time lead nurturing.
✅ Develop automated follow-ups via WhatsApp, calls, and emails.
? Phase 3 – AI Video & Voice (Weeks 17-24)
✅ AI-powered Zoom video meetings with real-time speech-to-text.
✅ AI negotiates & handles objections in real-time.
✅ Real-time voice cloning for AI sales interactions.
? Phase 4 – Frontend Dashboard & UI (Weeks 25-30)
✅ Build Next.js 14 dashboard for AI monitoring & agent control.
✅ Implement lead management, AI analytics & CRM reporting.
✅ Enable real-time property recommendations & AI insights.
? Phase 5 – AI Optimization & Scaling (Weeks 31-36)
✅ Fine-tune AI conversations based on real estate client behavior.
✅ Optimize AI memory & response time using vector database.
✅ Deploy on Kubernetes for high availability & scalability.
?? Ideal Candidate / Team Requirements
✅ AI & NLP Expertise: Experience in GPT-4, Claude 3, or open-source LLMs.
✅ Full-Stack Development: FastAPI/Rust for backend, Next.js for frontend.
✅ Twilio & WhatsApp API Experience: Must have built AI-driven chat & call solutions.
✅ CRM & Database Skills: Experience with HubSpot API, PostgreSQL, Pinecone.
✅ Cloud & DevOps: Must know AWS/DigitalOcean Kubernetes & CI/CD pipelines.
PLEASE CHECK THE .DOCX FILE
? Job Title:
Develop Nexa AI – A Real Estate AI Agent with WhatsApp, Calls & CRM Integration
? Job Description:
We are looking for an experienced AI & Full-Stack Development Team to build Nexa AI, an AI-powered real estate assistant that can chat, make calls, send WhatsApp voice notes, and handle Zoom meetings.
This project will be built as a SaaS-based AI system, capable of handling lead nurturing, client interactions, follow-ups, and CRM synchronization with DXBA.com and other real estate platforms.
?️ Tech Stack & Project Scope
✅ Backend: Python (FastAPI) or Rust (Axum) for high-performance AI processing.
✅ AI Model: GPT-4 API (or Claude 3 for cost reduction) with Pinecone for memory.
✅ Database: PostgreSQL (structured data) + MongoDB (unstructured).
✅ Speech Processing: Whisper API (speech-to-text) + ElevenLabs (text-to-speech).
✅ WhatsApp AI: Twilio API + Meta Business API for messaging & voice notes.
✅ Phone Calls AI: Twilio Voice API for AI-powered calls.
✅ CRM Integration: HubSpot API / Salesforce API for lead tracking.
✅ Frontend: Next.js (React) with Tailwind CSS for modern UI/UX.
✅ Cloud Hosting: DigitalOcean Kubernetes or AWS Lambda for scalable deployment.
? Key Features & Development Phases
? Phase 1 – AI Core & Backend (Weeks 1-8)
✅ Implement AI chatbot & memory system (Pinecone + GPT-4 Turbo).
✅ Develop FastAPI backend for AI API handling.
✅ Connect PostgreSQL + MongoDB for lead tracking & CRM sync.
? Phase 2 – AI Communication Features (Weeks 9-16)
✅ Integrate WhatsApp AI messaging & voice notes using Twilio & Meta API.
✅ Enable AI-powered phone calls & real-time lead nurturing.
✅ Develop automated follow-ups via WhatsApp, calls, and emails.
? Phase 3 – AI Video & Voice (Weeks 17-24)
✅ AI-powered Zoom video meetings with real-time speech-to-text.
✅ AI negotiates & handles objections in real-time.
✅ Real-time voice cloning for AI sales interactions.
? Phase 4 – Frontend Dashboard & UI (Weeks 25-30)
✅ Build Next.js 14 dashboard for AI monitoring & agent control.
✅ Implement lead management, AI analytics & CRM reporting.
✅ Enable real-time property recommendations & AI insights.
? Phase 5 – AI Optimization & Scaling (Weeks 31-36)
✅ Fine-tune AI conversations based on real estate client behavior.
✅ Optimize AI memory & response time using vector database.
✅ Deploy on Kubernetes for high availability & scalability.
?? Ideal Candidate / Team Requirements
✅ AI & NLP Expertise: Experience in GPT-4, Claude 3, or open-source LLMs.
✅ Full-Stack Development: FastAPI/Rust for backend, Next.js for frontend.
✅ Twilio & WhatsApp API Experience: Must have built AI-driven chat & call solutions.
✅ CRM & Database Skills: Experience with HubSpot API, PostgreSQL, Pinecone.
✅ Cloud & DevOps: Must know AWS/DigitalOcean Kubernetes & CI/CD pipelines.
PLEASE CHECK THE .DOCX FILE
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