• Projects 22
  • Rating 5.0
  • Rating 5 237

Budget: 27000 UAH Deadline: 35 days

Hello! I am the project manager of the company Business Atlas.

I have reviewed your request — we specialize in creating autonomous ecosystems for complex niches. Mental health medicine requires not just a "bot," but deep logic for processing the client's states. We are ready to implement this based on n8n and Low-code architecture.

What you will receive:
• Voice AI assistant: Integration of artificial intelligence into telephony for call processing. We will configure the system to ensure minimal delays and the voice is as natural as possible (using advanced TTS/STT technologies).
• Empathetic chatbot: Development of an AI agent for Binotel or messengers. The bot will be trained based on the knowledge of your clinic to provide support and professional responses, taking into account the emotional state of the client.
• Seamless network: All data from calls and chats will automatically go into your CRM system for further work by doctors.
• Security and confidentiality: Configuration of data processing logic according to medical standards.

  • Projects 11
  • Rating -
  • Rating 1 963

Budget: 27000 UAH Deadline: 15 days

Yaroslav, greetings! I am Dmitriy, the owner of ProgGenius.
We have implemented AI Legal Mind - an AI agent in production for a sensitive niche (legal services): empathetic communication, understanding the context of the request, structured responses, and transferring to a specialist at the right moment. The approach to mental health requires even more attention to tone - we understand this.
https://freelancehunt.com/en/showcase/work/legal-mind/1970538.html

Two more relevant cases:
Notifier - a communication automation platform with clients: trigger scenarios, processing incoming requests, and routing to the right specialist.
https://freelancehunt.com/en/showcase/work/notifier/1865531.html
Emigral - AI qualification of clients with an empathetic approach and automatic service selection. Reduced sales department costs by 30%.
https://freelancehunt.com/en/showcase/work/emigral/1865551.html

  • Projects 5
  • Rating 4.9
  • Rating 756

Budget: 27000 UAH Deadline: 7 days

Hello, I have been working on integrating an AI assistant for a medical clinic with voice calls and a chatbot - response delay of less than 800ms, emotional state recognition with 95% accuracy.

How do you plan to train the AI to recognize critical emotional states of clients and when to transfer the call to a live specialist?

I suggest we get in touch, I will provide you with free technical consultation and we will create a development plan + I will tell you about my team! ✨

  • Projects 8
  • Rating 5.0
  • Rating 2 930

Budget: 27000 UAH Deadline: 15 days

Hello. I will create a low-latency voice AI agent (Voice Activity Detection + streaming) and integrate a text assistant. For telephony, I will use the VAPI.ai or Bland AI API — they provide latency < 500ms and allow customization of a deep empathetic prompt for your medical niche. I have a strong background in developing high-load API integrations (arbitrage bots with a response time < 1 second), and I guarantee stable backend operation on a VPS. What specific SIP telephony are you currently using for calls to assess the complexity of connecting the trunk?

  • Projects 6
  • Rating -
  • Rating 475

Budget: 27000 UAH Deadline: 35 days

Hello Yaroslav!
I can help with building such a system step by step. For the chat — integration of Binotel through API/webhooks, AI agent based on the clinic's knowledge, response logic, transferring complex inquiries to an operator. For telephony — it is necessary to separately check the technical capabilities of Binotel regarding API/SIP/webhook integration, after which STT/TTS solutions and AI logic for dialogue can be connected. For your niche, it is important to immediately establish limitations: AI should not "treat" or give categorical medical advice, and in emotionally complex cases, it should transfer the person to a live specialist.

I work with Make, n8n, Telegram/API integrations, webhooks, CRM, Google Sheets/Airtable, and AI automations. I will be able to provide an exact estimate after clarifying whether you have access to the Binotel API, which CRM is used, and whether there is already a prepared knowledge base for AI responses.

Timeline: 14–25 days for the first working version, depending on access and the complexity of telephony.

Cost: starting from 27,000 UAH for the first stage: AI chat + basic inquiry processing logic + preparation of architecture for telephony. Full implementation with voice AI can be estimated separately after a technical audit of Binotel.

I would be happy to help with the project.

  • Projects 14
  • Rating 5.0
  • Rating 7 752

Budget: 27000 UAH Deadline: 12 days

Hello, Yaroslav! My name is Nina, I represent the developer Valentin — we specialize in AI agents for responsible niches.

We have experience in the financial sector — there, too, mistakes cannot be made, and we understand how to build an agent to high standards of responsibility.

Regarding your project:

Telephony: Deepgram STT + Claude/GPT-4o with short context + ElevenLabs TTS. Real latency with the correct pipeline — 700-900ms.

Chat Binotel: webhook for incoming message → FastAPI → LLM with the clinic's knowledge base → empathetic response.

  • Projects -
  • Rating -
  • Rating 121

Budget: 27000 UAH Deadline: 3 days

Good day. I am ready to complete this project as I have extensive experience in application development.

  • Projects 7
  • Rating 4.5
  • Rating 1 266

Budget: 27000 UAH Deadline: 14 days

Good day.
I am ready to take your project into work.
I can create a voice and chat assistant for you using low-code tools.
Write to me privately, we will discuss all the details of your technical specifications and choose the best solution for you.

  • Projects -
  • Rating -
  • Rating 1 682

Budget: 27000 UAH Deadline: 14 days

Yaroslav, good day!

The task is clear: a clinical contact center where every call or message is potentially from a person in distress. A standard IVR or template chatbot will not work here.

Regarding telephony: to minimize delay, I am building a stack on streaming STT (Deepgram or AssemblyAI) + LLM with a short context window (GPT-4o mini or Claude Haiku) + streaming TTS (ElevenLabs Turbo or similar). With the correct pipeline, the pause between the client's word and the AI's response is realistically 700–900 ms. Connection to Binotel via SIP trunk or webhook on call events depending on the tariff.

Regarding chat: Binotel REST API + webhook for new messages → FastAPI handler → LLM with a system prompt focused on mental health (active listening, no pressure, no categorical statements). RAG based on the clinic's knowledge — to ensure responses are specific, not general phrases.

Specifically for your niche: I will definitely outline a safety escalation protocol — if the AI recognizes a crisis state in the client, the conversation or chat is immediately transferred to a live specialist. This is not an option, it is a must-have.

  • Projects 32
  • Rating 4.9
  • Rating 15 075

Budget: 26990 UAH Deadline: 29 days

Good day!
My name is Valentin, and I represent Arctic Web Agency. We are a team that specializes in creating modern and effective solutions for business. I can provide examples of our similar work in personal messages. We are ready to take your project to work!

Sincerely,
Arctic Web Team
Freelancehunt

  • Projects 3
  • Rating 5.0
  • Rating 2 110

Budget: 26900 UAH Deadline: 12 days

Good day! I am Olga, a full-stack developer focusing on Python, integration, and LLM/AI bots. I specifically work with the medical segment, so I will immediately say that for a mental health clinic, there are several things that are important to incorporate into the architecture from the very beginning, regardless of the stack.

What I see as critical for your niche:
• Law "On Personal Data Protection" — medical data is considered sensitive, written consent from the client is required for AI processing + audit logs
• Escalation protocol to a live operator for crisis keywords (suicidal, acute conditions) — AI should not "extract" such conversations on its own
• Transparency for the client: at the beginning of the call/chat, clearly state that the communication is with an AI assistant

Realistically, I break the project into 2 phases:

Phase 1. AI chat in Binotel + knowledge base (25,000 UAH, 12 days)

  • Projects -
  • Rating -
  • Rating 258

Budget: 27000 UAH Deadline: 7 days

Good day! We have reviewed your project and are ready to implement it quickly and efficiently. We propose to develop:
— AI integration in telephony: processing incoming calls and cold calls with the most "human-like" voice, minimal delays, and natural dialogue logic.
— Setting up communication scenarios taking into account the specifics of mental health (empathy, appropriate responses, delicate communication).
— AI integration in chat (Binotel or alternatives): automatic responses, dialogue support, client qualification, transferring complex cases to an operator.
— Connecting and training the model on your materials for the most professional responses.
— Analytics, logging, and optimization of AI performance.
We work with modern AI solutions and support Ukrainian, Russian, and English languages (and other languages if needed).
We have experience in developing AI chats, automating business processes, and integrations with CRM and telephony — we are ready to provide case studies in private messages.
Our website: https://benefit-it.net
Sincerely, Benefit Studio 🚀

  • Projects 4
  • Rating 4.3
  • Rating 738

Budget: 27000 UAH Deadline: 7 days

Good day. I wrote a script recently for the Binotel auto responder based on AI. That is, when someone calls the Binotel number - the bot picks up the phone - the bot listens to the voice and the voice is converted to text (STT), the text is sent to AI (for generating a text response), then this text is converted back to voice (TTS) and sent to the person in response with the AI voice. All necessary tools are available. I can also do automation for a medical institution. Write to me, we will discuss.

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