You will get Real-Time AI Voice Assistant with Vector Database Integration
Project details
You will get a production-ready, real-time voice AI assistant capable of context-aware conversations using your domain knowledge. My solution combines vector database retrieval (Pinecone, Chroma, Weaviate, or OpenAI Vector Store) with OpenAI Realtime API to deliver expert, accurate responses in real time.
Whether you need a web-based or desktop app, I will handle everything from RAG pipeline design, STT/TTS audio processing, AI agent orchestration, to deployment. The assistant can query your knowledge base, understand context, and respond like a domain expert.
I deliver fully functional source code, detailed documentation, and optional desktop or web deployment. With a fixed price that includes API costs, you get a high-quality AI solution in just 1 week, ready to transform how your team interacts with information.
Whether you need a web-based or desktop app, I will handle everything from RAG pipeline design, STT/TTS audio processing, AI agent orchestration, to deployment. The assistant can query your knowledge base, understand context, and respond like a domain expert.
I deliver fully functional source code, detailed documentation, and optional desktop or web deployment. With a fixed price that includes API costs, you get a high-quality AI solution in just 1 week, ready to transform how your team interacts with information.
AI Algorithms
Autoencoder, Gated Recurrent Unit, Large Language Model, Multimodal Large Language Model, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, Automatic Speech Recognition, Conversational AI, Natural Language Generation, Natural Language Understanding, Speech SynthesisAI Development Language
PythonAI Tools
Azure OpenAIAI Models
ChatGPT, GPT-3, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$500
|
Standard
$700
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 7 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | |||
Detailed Code Comments | - | - | |
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | - | |
Model Tuning | - | - | |
Natural Language Processing | - | ||
NLP Tokenization | - | - | |
Pre-Training | - | - | |
Prompt Engineering | - | ||
Setup File | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$70Frequently asked questions
About Muhammad Bilal
AI Engineer | RAG Expert | Agentic Workflow & Voice AI Specialist
Faisalabad, Pakistan - 10:22 pm local time
Is your team struggling to find answers within massive document repositories? Do you need an AI that can query your databases using natural language? Or are you looking to build a voice-activated assistant that can perform tasks? I solve these problems by architecting robust, scalable, and secure AI systems.
My core expertise is in transforming your unique business challenges into functional, high-performance AI applications.
Services & Solutions:
Full-Stack RAG Development: End-to-end design of conversational AI systems over your private documents and data.
AI Agent & Tool Integration: Building autonomous agents that can interact with external APIs, databases (NL2SQL), and other software.
Voice-to-Voice AI Systems: Creating seamless voice-activated conversational experiences integrated with vector databases.
API & Backend Development: Delivering scalable and secure AI logic via FastAPI endpoints for easy integration into your existing applications.
My Technology Stack:
Languages & Frameworks: Python, LangChain, LlamaIndex, FastAPI
LLM APIs & Models: OpenAI (GPT-4, GPT-4o), Google (Gemini), Anthropic (Claude)
Vector Databases: Pinecone, ChromaDB, Weaviate, FAISS
AI Agents: OpenAI Assistants API, LangGraph, Custom Agent Loops
Cloud & Deployment: Docker, AWS, Azure
I am committed to delivering clean code, clear documentation, and solutions that provide long-term value.
Let's schedule a brief call to discuss how a custom AI solution can address your specific needs.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Bilal can start the project.
Delivery time starts when Muhammad Bilal receives requirements from you.
Muhammad Bilal works on your project following the steps below.
Revisions may occur after the delivery date.
Gather Client Data & Access
Collect documents, vector DB credentials, and any necessary API keys to integrate client knowledge and ensure context-aware responses.