Budget: 22000 UAH Deadline: 10 days
Good day.
I am ready to take your project into work.
I can develop such an assistant for you using n8n.
Write to me privately, we will discuss all the details and choose the best solution for you.
Budget: 27000 UAH Deadline: 9 days
Hello! 👋 I am Igor, from the 256Devs team. Our developers can create a voice assistant based on NLP/NLU platforms (e.g., Dialogflow). We guarantee clear flows and scalability. First, we will analyze the use cases and choose the optimal platform. Next, we will design the dialogue logic and integrate the necessary backend services. We will conduct model training and testing of all voice commands. Please send the main tasks that the assistant should perform — we will discuss the details.
Budget: 15000 UAH Deadline: 7 days
Hello, I have reviewed your task, I am currently free and ready to take on its implementation, I will be happy to collaborate. I invite you to personal messages to discuss the details.
Budget: 6000 UAH Deadline: 7 days
This is an interesting task, I can implement it for you. I already have a project on n8n, I have worked with many integrations (in my profile, there are only 2 such tasks). I specialize in AI integration. I will be happy to collaborate with you.
Budget: 15000 UAH Deadline: 10 days
Hello, I have implemented something similar, I will connect GPT and EventLabs and set up the necessary functionality, I can send an example in a private message.
Budget: 3000 UAH Deadline: 3 days
Good day, I have experience working with Python as well as Telegram bots, I can complete everything quickly and efficiently, write to me and we will discuss the details.
Budget: 25000 UAH Deadline: 14 days
Good day!
I can create a multilingual voice assistant based on n8n for Bricknest.
The assistant will automatically determine the client's language (English or Dutch), conduct a dialogue, collect data, integrate with Notion and Slack, and also send messages on WhatsApp outside of working hours.
There will be precise speech recognition set up, audio recording storage, and the ability to scale for additional languages.
Please let me know if you have the WhatsApp Business API connected, so I can take the technical nuances into account during development.
I can also suggest combining the voice and text assistant into one project — this will be more cost-effective, as a shared knowledge base can be created that both assistants will use.
Budget: 27000 UAH Deadline: 14 days
Good day! I am engaged in no-low code automation on Python and AI integrations. I specialize in developing such "smart" automation systems, and I am well acquainted with the stack n8n + Notion + Slack + Twilio.
I paid special attention to Section 2.3 (Request Qualification). I have ready-made solutions on how to classify not just by "keys" (which is unreliable), but through an AI module that will understand the meaning of the client's message (EN/NL). This will provide >95% accuracy.
All other logic (auto-responses during non-working hours, reminders, recording in Notion) is clear and easily implementable.
Write to me - we will discuss the details of how we will "train" the AI classifier, and I will be ready to start.
Budget: 22222 UAH Deadline: 15 days
Hello!
The task has been considered using available services.
I propose a step-by-step approach: needs analysis, action plan, implementation, and quality control.
No defined deadlines.
Flexible conditions, confidentiality, transparent reports.
Review the portfolio and send a request.
Budget: 27000 UAH Deadline: 24 days
Hello!
I am ready to develop and launch a multilingual voice assistant for Bricknest based on n8n, specifically tailored to handle inquiries in English and Dutch. My expertise in Low-Code automation will allow for the integration of powerful Speech-to-Text services for accurate speech recognition, build the logic for automatic language detection for proper dialogue management, and ensure reliable storage of all audio recordings in cloud storage. The system will also guarantee seamless data integration with Notion and Slack, as well as automatic message sending in WhatsApp outside of working hours, creating a scalable and comprehensive platform for customer support.
