You will get Make.com Automation for Voicebot Agent using Retell AI
Rising Talent
Project details
✔️✔️ AI-Powered Voicebot for Smart Calling & Automation
✅ Tech Stack-->
This solution leverages Make.com for automation flows, Retell AI for voice interactions, OpenAI API for natural language understanding & transcript analysis, & Google Calendar API for seamless meeting scheduling.
✅ Solution Overview-->
An intelligent, AI-driven voice system that automates both inbound & outbound calls, captures lead data, & schedules appointments in real-time.
✅ Outbound Automation: Reaches out to leads within 2 minutes of form submission, engages them in contextual dialogue, & sets up meetings.
✅ Inbound Handling: The AI voice agent answers queries, captures key information, & initiates the scheduling process.
✅ Smart Scheduling: Instantly sends calendar invites.
✅ Call Analysis: Uses transcript processing to determine lead intent from summaries.
✅ Impact Highlights-->
✔️ Faster Responses: Drastically cuts follow-up lag
✔️ Improved User Experience: Tailored, AI-led conversations
✔️ Scalable Engagement
✅ Applicable Scenarios-->
✔ Lead Qualification & Sales
✔ 24/7 Customer Assistance
✔ Appointment Setting
✔ AI-Based Training Simulation
✔ Event Marketing & Promotion
✅ Tech Stack-->
This solution leverages Make.com for automation flows, Retell AI for voice interactions, OpenAI API for natural language understanding & transcript analysis, & Google Calendar API for seamless meeting scheduling.
✅ Solution Overview-->
An intelligent, AI-driven voice system that automates both inbound & outbound calls, captures lead data, & schedules appointments in real-time.
✅ Outbound Automation: Reaches out to leads within 2 minutes of form submission, engages them in contextual dialogue, & sets up meetings.
✅ Inbound Handling: The AI voice agent answers queries, captures key information, & initiates the scheduling process.
✅ Smart Scheduling: Instantly sends calendar invites.
✅ Call Analysis: Uses transcript processing to determine lead intent from summaries.
✅ Impact Highlights-->
✔️ Faster Responses: Drastically cuts follow-up lag
✔️ Improved User Experience: Tailored, AI-led conversations
✔️ Scalable Engagement
✅ Applicable Scenarios-->
✔ Lead Qualification & Sales
✔ 24/7 Customer Assistance
✔ Appointment Setting
✔ AI-Based Training Simulation
✔ Event Marketing & Promotion
AI Algorithms
AdaBoost, Large Language Model, Long Short-Term Memory Network, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Speech, AI-Generated Art, AI-Generated Video, Conversational AI, Image-to-Image Translation, Natural Language Generation, Object Detection, Sentiment Analysis, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Copy.ai, GitHub Copilot, Hugging Face, Jasper AI, Microsoft 365 Copilot, PyTorch, Replit, Streamlit, TensorFlowAI Models
BERT, ChatGPT, DALL-E, Dolly, GPT-3, GPT-4, GPT-J, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, WhisperWhat's included $1,000
These options are included with the project scope.
$1,000
- Delivery Time 5 days
- Number of Revisions 2
- AI Model Integration
- Batch Normalization
- Database Integration
- Detailed Code Comments
- Model Deployment
- Model Documentation
- Model Monitoring
- Model Tuning
- Natural Language Processing
- NLP Tokenization
- Pre-Training
- Prompt Engineering
- Setup File
- Source Code
About Sunny
AI Agent Engineer | LangGraph, Advanced RAG, Multi-Agent, LLM
Delhi, India - 7:55 pm local time
If you're here, you probably already know that a simple ChatGPT wrapper won't cut it. You need a system that thinks, plans, and acts — reliably, in production.
That's exactly what I deliver.
➤ What I Specialize In:
🤖 Agentic AI Systems
Multi-agent workflows using LangGraph & LangChain — with tool-calling, memory, loops, and self-correction built in from day one. Not prototypes. Real production systems.
🔍 Advanced RAG Pipelines
Semantic search, hybrid retrieval, query expansion, and re-ranking — tuned for high accuracy on your private data. I prevent hallucinations, not just "implement RAG."
🌐 Intelligent Data Acquisition
Automated scraping pipelines (Apify + custom spiders) that gather, clean, chunk, and vectorize unstructured web data to continuously feed your vector store.
⚙️ LLM Orchestration & Integration
Robust Python backends that connect GPT-4o, Claude 3.5, Llama 3, or any open-source model into your existing infrastructure — with fallback logic, cost controls, and full observability.
➤ Tech Stack:
Orchestration: LangChain, LangGraph, CrewAI, AutoGen
Models: OpenAI, Anthropic Claude, Groq, Ollama (Llama 3)
Vector DBs: Qdrant, Pinecone, Chroma, Weaviate
Data: Apify, BeautifulSoup, Scrapy, Pandas
Backend: Python, FastAPI, Django, REST APIs
Infra: Docker, AWS, GCP, Railway
➤ My Process (No surprises. No shortcuts.):
1. Discovery Call — I map your use case, data, and success criteria before writing a single line of code
2. Architecture Design — Agent logic, memory strategy, tool definitions, and retrieval design all documented upfront
3. Iterative Build — Clean, well-documented Python with accuracy benchmarks at every milestone
4. Production Handoff — Deployed, monitored, and fully documented so your team can own it
➤ You'll get the most value working with me if:
✅ You need an AI system that takes action, not just generates text
✅ You have messy, unstructured data that needs to be scraped, structured, and searchable
✅ Your current AI prototype is breaking in production and needs a solid architecture
✅ You value clear timelines, honest scoping, and zero hand-waving
➤ Results clients have seen:
10x faster internal knowledge retrieval with a custom RAG system
Fully automated lead research agent replacing 3 hours of daily manual work
Multi-agent pipeline processing 50,000+ documents/day with less than 2% hallucination rate
📩 Ready to scope your project?
Drop me a message with your use case — even a rough idea is enough. I'll respond within 12 hours with a clear technical direction. No sales pitch. No fluff. Just a direct path to a working system.
⭐ Keywords ⭐
AI agent developer, LangChain developer, LangGraph expert, multi-agent systems, CrewAI developer, AutoGen expert, advanced RAG pipeline, RAG developer, vector database expert, Pinecone expert, Qdrant developer, Weaviate integration, ChromaDB, semantic search, hybrid retrieval, hallucination reduction, LLM orchestration, GPT-4o integration, Claude API developer, Llama 3 fine-tuning, Groq integration, Ollama developer, Python AI developer, FastAPI developer, AI backend engineer, Apify scraping, web scraping AI pipeline, document processing AI, knowledge base AI, AI system architect, production AI systems, agentic AI, autonomous AI agents, AI prompt engineering, generative AI developer, LlamaIndex developer, chain-of-thought prompting, AI observability, LLM cost optimization, query expansion RAG, AI agent orchestration, LangGraph state machine, multi-step AI workflow, document chunking pipeline, vector embedding expert
Steps for completing your project
After purchasing the project, send requirements so Sunny can start the project.
Delivery time starts when Sunny receives requirements from you.
Sunny works on your project following the steps below.
Revisions may occur after the delivery date.
Detail of your requirement
Complete Requirement details