You will get Production-Ready Real-Time Voice AI Agent for Live Phone Calls
Project details
This project delivers a configurable Voice AI Call Agent capable of handling real-time conversations across a wide range of business functions. The same system can be adapted for recruitment interviews, cab booking, customer support, service desks, lead qualification, appointment scheduling, surveys, or internal operations.
The agent maintains natural dialogue, understands intent, follows defined workflows, and dynamically adjusts its responses based on what the caller says. It can capture structured data, trigger backend actions, and deliver consistent outcomes without requiring human supervision.
Organizations can deploy it to scale conversations, reduce operational costs, and provide uniform, always-available assistance.
Unique Points
• Human-like conversational flow
• Fully configurable goals & workflows
• Works across industries and use cases
• Real-time intent understanding
• Dynamic branching & follow-ups
• Handles speech fillers and noisy input
• Structured outputs for automation
• Built for concurrent calls and retries
• Modular, integration-friendly design
The agent maintains natural dialogue, understands intent, follows defined workflows, and dynamically adjusts its responses based on what the caller says. It can capture structured data, trigger backend actions, and deliver consistent outcomes without requiring human supervision.
Organizations can deploy it to scale conversations, reduce operational costs, and provide uniform, always-available assistance.
Unique Points
• Human-like conversational flow
• Fully configurable goals & workflows
• Works across industries and use cases
• Real-time intent understanding
• Dynamic branching & follow-ups
• Handles speech fillers and noisy input
• Structured outputs for automation
• Built for concurrent calls and retries
• Modular, integration-friendly design
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, Automatic Speech Recognition, Conversational AI, Sentiment Analysis, Speech SynthesisAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, PyTorch, TensorFlowAI Models
ChatGPT, GPT-4, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$75
|
Standard
$300
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 21 days |
Number of Revisions | 1 | 2 | 4 |
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 |
Frequently asked questions
About Aditya
Python AI Engineer | LLM Agents | Voice AI | FastAPI |RAG & Automation
Purnia, India - 11:07 am local time
I build production-ready AI systems using Python, not experimental demos or proof-of-concepts that never see the light of day. My focus is on designing and deploying LLM-powered applications that solve real business problems with reliability, scalability, and measurable ROI.
With 2+ years of intensive hands-on experience in applied AI engineering, I've developed voice-based agents, intelligent recruitment automation systems, semantic search pipelines, and sophisticated multi-model orchestration backends, all running successfully in production environments.
𝙒𝙝𝙖𝙩 𝙨𝙚𝙩𝙨 𝙢𝙚 𝙖𝙥𝙖𝙧𝙩: I transform ambiguous business challenges into structured AI solutions with built-in guardrails, intelligent fallback logic, robust validation layers, and quantifiable performance metrics. If you need AI that delivers consistent, reliable results; I'm your engineer.
𝗖𝗢𝗥𝗘 𝗘𝗫𝗣𝗘𝗥𝗧𝗜𝗦𝗘
• Intelligent Chatbots & LLM Agents – OpenAI, Gemini, Groq, Anthropic
• Voice AI Systems – LiveKit, Twilio, real-time streaming architectures
• Document Intelligence – Resume screening, automated document processing
• RAG & Semantic Search – Vector databases, embeddings, hybrid search
• AI Workflow Automation – Complex business process automation
• Multi-Model Orchestration – Smart routing, graceful degradation, fallback logic
• Production Backend APIs – FastAPI, MongoDB, scalable microservices
• AI Safety & Reliability – Guardrails, structured outputs, validation frameworks
𝗣𝗥𝗢𝗩𝗘𝗡 𝗥𝗘𝗦𝗨𝗟𝗧𝗦 (𝗥𝗘𝗔𝗟 𝗣𝗥𝗢𝗗𝗨𝗖𝗧𝗜𝗢𝗡 𝗠𝗘𝗧𝗥𝗜𝗖𝗦)
Voice-Based AI Booking Agent
▸ <5% human call transfer rate
▸ 90% successful booking completion
▸ 30-35% reduction in average handling time
Autonomous Recruitment Agent
▸ 35-40% improvement in candidate shortlisting relevance
▸ 50% reduction in manual recruiter effort
▸ 45% faster screening-to-interview cycles
AI Copilot MVP (Internship Project)
▸ 25-30% improvement in LLM response accuracy
▸ ~40% reduction in manual evaluation workload
▸ Reduced testing cycles from days to hours
𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗔𝗥𝗦𝗘𝗡𝗔𝗟
Core: Python (advanced), FastAPI, RESTful architecture
AI/LLM: OpenAI API, Gemini, Groq, LangChain, Embeddings, RAG
Infrastructure: Docker, GCP, MongoDB, ChromaDB, SQL
Voice/Real-time: LiveKit, Twilio, WebRTC
Best Practices: Clean architecture, comprehensive documentation, scalable deployments, rigorous testing
𝗠𝗬 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗜𝗡𝗚 𝗣𝗛𝗜𝗟𝗢𝗦𝗢𝗣𝗛𝗬
I believe in building AI systems that are:
🔹 Structured – Clean, modular Python architecture with intentional decision flows, not messy prompt chains
🔹 Reliable – Production-tested mechanisms including fallback models, validation layers, and graceful error handling
🔹 Scalable – Designed from day one to handle growth and evolving requirements
🔹 Documented – Clear, maintainable code that your team can understand and extend
I excel when AI is the core of your product, not just a superficial feature tacked on as an afterthought.
𝙇𝙚𝙩'𝙨 𝘽𝙪𝙞𝙡𝙙 𝙎𝙤𝙢𝙚𝙩𝙝𝙞𝙣𝙜 𝙏𝙝𝙖𝙩 𝙒𝙤𝙧𝙠𝙨
If you're developing a serious AI product or need to automate complex workflows with LLMs, I'm ready to help. I partner with clients to scope requirements, architect robust solutions, and deploy systems that deliver consistent, measurable value.
Ready to turn your AI vision into production reality? Let's talk.
Steps for completing your project
After purchasing the project, send requirements so Aditya can start the project.
Delivery time starts when Aditya receives requirements from you.
Aditya works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & Requirement Alignment
We begin with a discussion to understand the exact use case, success criteria, integrations, tone of the agent, and expected outcomes. Any existing scripts, workflows, or APIs are reviewed here
Solution Blueprint
I translate requirements into conversation flows, decision logic, and system architecture. You’ll see how calls will move, what data is captured, and where actions trigger.