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  • Rating 898

Budget: 1150 EUR Deadline: 23 days

Good day, Nazar C.

Weekly manual data processing hinders sales scaling. Automation will allow for instant detection of scenario violations and errors in CRM, saving up to 15 hours weekly.

I propose an architecture based on microservices (Go/Docker). Through the Zadarma API, the system will receive audio files, and LLM (OpenAI/Anthropic) will transcribe and analyze the content. Integration with Kommo will ensure deal verification and response speed.

You will receive real-time dashboards: from funnel compliance to marketing insights. The solution guarantees scalability and flexibility for new channels.

If you need to find where to deploy — no problem.

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  • Rating -
  • Rating 472

Budget: 5000 EUR Deadline: 35 days

Hello!
My name is Alexey, and I represent the NC-1 development team. We have been building websites, mobile apps, ERP/CRM systems, and e-commerce products for over five years.

I propose our team for the development of your AI Quality Control MVP:
Project Manager
System Architect, Senior
Backend Developer
AI/Prompt Engineer
UI/UX Designer
QA Engineer

  • Projects 23
  • Rating -
  • Rating 2 114

Budget: 450 EUR Deadline: 21 days

hello
I did something similar, a system that analyzes a call based on a list of points and gives an assessment of how the operator performed
I can develop it for you as well
write to me, we will discuss the details

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  • Rating 165

Budget: 900 EUR Deadline: 21 days

Disclaimer: The text was composed by my AI. For finding an AI specialist, this is the best practical skills assessment for candidates.

Hello. I will save you 15 hours of routine work per week by automating call analysis.

1. Technologies and architecture:
Combination of Python (FastAPI) + OpenAI Whisper (STT) + GPT-4o (LLM). The system operates asynchronously: as soon as the call is completed, the server receives a signal, transcribes the audio, and delivers a verdict.

2. Integration:
Through Webhooks. Zadarma provides the call recording → the service analyzes it → data flows into the deal notes or custom fields via the Kommo CRM API.

  • Projects 25
  • Rating 5.0
  • Rating 13 749

Budget: 5000 EUR Deadline: 42 days

Hello, I believe I can help with the implementation of your project. The system you described requires quite serious architecture, as it needs to ensure automatic analysis of records, integration with several platforms, and report generation. This is a rather complex task, considering all the parameters you want to take into account. I would suggest starting with the development of a structure that will allow for the effective integration of artificial intelligence algorithms for automating the analysis. Regarding technologies, I am considering using Python, as there are many ready-made libraries for processing sound and text. I am confident that we can set up integration with Zadarma and Kommo without any problems. The implementation of the project will take about 5-6 weeks, taking into account all the nuances and testing. As for the cost, I recommend starting with an amount of 600-800 hryvnias per hour, depending on the scope of work, as the project is indeed large-scale. What questions or clarifications do you have?

  • Projects 9
  • Rating 5.0
  • Rating 726

Budget: 200 EUR Deadline: 3 days

Hello! Your project has sparked great interest in me. I am ready to start working immediately and ensure high quality execution.

  • Projects 53
  • Rating 5.0
  • Rating 1 836

Budget: 1000 EUR Deadline: 30 days

Hello! I am ready to take on your task. I have practical experience in implementing similar automation systems and can offer an effective solution.

  • Projects 11
  • Rating 5.0
  • Rating 3 882

Budget: 25 EUR Deadline: 1 day

Hello! My name is Vladislav.

I specialize in creating "Digital ROP" systems and I am in the top 5 specialists in the AI and machine learning category. Your task is my direct profile. I have already implemented a similar system (V1), which works with the combination of Make and Kommo CRM, so I can offer you a proven solution, not just theory.

My solution architecture (already tested on Kommo CRM):

Data collection: Automatic capture of call records from Zadarma via Webhooks in Make.

Transcription and analysis: Using Whisper models (OpenAI) to convert voice to text and GPT-4o for deep analysis. The system does not just "listen," but evaluates script adherence, identifies manager errors, and records client objections.

  • Projects 4
  • Rating 4.3
  • Rating 738

Budget: 2500 EUR Deadline: 20 days

Good day.
I can implement it in Go + any AI STT services.
Integration can be done in various ways.
In terms of deadlines, up to 2-3 weeks.
I will do everything with quality, so that everything works as needed.
I have a lot of experience in similar solutions. We need to discuss the details.

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