Voice AI Call Center Website
Budget: ₹75,000 – ₹150,000 INR
I need a streamlined website whose sole function is to host and manage a voice-based AI call-center. The site will act as the control panel and public-facing entry point for customers who dial in, while giving me an admin area to configure and monitor activity.
Core requirements
• Automated responses: callers must hear natural-sounding, AI-generated answers that pull from a knowledge base I can update myself.
• Live call routing: when the AI decides human help is needed, it should hand the caller off to a live agent instantly and log the transfer.
• Voice channel only: chat or email may be added later, but right now the system must excel at telephone interactions.
Technical expectations
– Cloud telephony integration (Twilio, Plivo, or similar) for SIP/VoIP handling.
– AI engine (Dialogflow, Amazon Lex, or comparable) for intent recognition and response generation.
– Web dashboard built with a modern stack (React or Vue preferred on the front end, Node or Python on the back) showing call logs, live status, and simple training tools for the bot.
– Secure login, role-based access, and scalable hosting.
Deliverables
1. Fully functional web application deployed to my hosting account.
2. Source code in Git with clear commit history.
3. Setup and usage documentation I can follow without outside help.
4. A brief hand-off session (video or live) to walk me through operation.
Acceptance criteria
• I can place a test call, hear an AI response, press a key to escalate, and be routed to a live agent without dropouts.
• Dashboard accurately shows call duration, caller ID, and transfer reason.
• Latency stays under two seconds from caller speech to AI reply on a 4G connection.
If you have prior work linking Dialogflow or similar NLP engines to Twilio voice flows, that will shorten development time considerably. Let me know which tools you prefer and a rough timeline for reaching a demo I can test.
Core requirements
• Automated responses: callers must hear natural-sounding, AI-generated answers that pull from a knowledge base I can update myself.
• Live call routing: when the AI decides human help is needed, it should hand the caller off to a live agent instantly and log the transfer.
• Voice channel only: chat or email may be added later, but right now the system must excel at telephone interactions.
Technical expectations
– Cloud telephony integration (Twilio, Plivo, or similar) for SIP/VoIP handling.
– AI engine (Dialogflow, Amazon Lex, or comparable) for intent recognition and response generation.
– Web dashboard built with a modern stack (React or Vue preferred on the front end, Node or Python on the back) showing call logs, live status, and simple training tools for the bot.
– Secure login, role-based access, and scalable hosting.
Deliverables
1. Fully functional web application deployed to my hosting account.
2. Source code in Git with clear commit history.
3. Setup and usage documentation I can follow without outside help.
4. A brief hand-off session (video or live) to walk me through operation.
Acceptance criteria
• I can place a test call, hear an AI response, press a key to escalate, and be routed to a live agent without dropouts.
• Dashboard accurately shows call duration, caller ID, and transfer reason.
• Latency stays under two seconds from caller speech to AI reply on a 4G connection.
If you have prior work linking Dialogflow or similar NLP engines to Twilio voice flows, that will shorten development time considerably. Let me know which tools you prefer and a rough timeline for reaching a demo I can test.