
AI & ML Engineer | Intelligent Chatbot Development
Starting at
$
43
/hrAbout this service
Summary
FAQs
Which platform do you use to build chatbots?
I primarily use OpenAI APIs (GPT‑4/4‑Turbo), Dialogflow, or custom NLP frameworks, depending on the project goals. For automation and backend logic, I often integrate with n8n or Make.com to connect your chatbot with external tools or databases.
Can the chatbot connect to my existing systems?
Yes. I can integrate your chatbot with CRMs, Notion, Airtable, Google Sheets, or APIs so it can access real data, automate responses, and perform real‑time actions based on user input.
Can you train the chatbot on my company’s data or documents?
Absolutely. I can build a custom knowledge base from your documents, FAQs, or website content, enabling your chatbot to respond using your specific business information and tone of voice.
Do I need any third‑party subscriptions?
Yes. You’ll need to maintain your own accounts for tools like OpenAI API, Dialogflow, or Zapier/n8n, depending on the setup. I only charge for design, development, and integration — the platform costs remain in your control.
Will the chatbot work on my website or WhatsApp?
Yes. I can connect your chatbot to your website, WhatsApp Business, Slack, Telegram, or Messenger using secure APIs or official connectors compatible with your chosen platform.
What's included
Custom AI Chatbot Build
A fully functional chatbot designed and developed using tools like ChatGPT, OpenAI API, or Dialogflow, tailored to your brand’s tone, logic, and data flows.
Conversation Flow Design
A structured dialogue map defining user intents, responses, and fallback paths — built for both natural conversations and high conversion performance.
Platform Integration
Integration of the chatbot into websites, CRMs, or messaging apps (WhatsApp, Slack, Telegram, etc.) using secure APIs and automation platforms like n8n or Make.com.
Knowledge Base Setup
Connection of the chatbot to a custom knowledge source (Docs, Notion, Airtable, Google Sheets, or vector database) for context‑aware responses and domain‑specific accuracy.
Training & Fine‑Tuning
Refinement of chatbot responses using curated datasets, persona prompts, and feedback loops to make the AI more natural, consistent, and aligned with your goals.
Technical Documentation
A well‑organized SOP or Notion guide detailing the chatbot logic, configuration, integrations, and methods for updating or scaling post‑deployment.
Optional Enhancements
Add‑ons like AI voice assistant integration, multi‑language support, advanced analytics dashboard, or custom branding/UI for web chat to further elevate the user experience.
Example projects
Industries