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  1. Freelancers

Elyor Bozorov

"В каждом кадре — характер. В каждом проекте — стиль."
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But on Freelancehunt, there are also 2171 freelancers in category AI Art, who will professionally and timely complete a project of any complexity.

Israel Тель-Авив, Israel
1 year back
Available for hire available for hire
age 29 years
on the service 1 year
    Freelancer Elyor B. — Israel, Тель-Авив. Core skill — AI Art, Embedded Systems & Microcontrollers

    Rating

    Successful projects
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    Rating
    206

    Language proficiency level

    Русский Русский: fluent

    Skills and abilities

    Programming

    Design & art

    Services


    Promotion

    Architecture

    Outsourcing & consulting


    Translation

    Writing

    Portfolio


    • 12 USD

      FREELANCE

      Print Design
      FREELANCE — example of freelancer's portfolio work in category Print Design
      Need an expert, not just a performer?
      I am Elyor, a freelancer with engineering precision and maximum creativity.
      I create websites, edit videos, enhance brands, and visualize ideas in 3D.
      And yes, I'm also on friendly terms with AI.
      …
      Your idea is my job. Your goal is my result.
    • 11 000 USD

      AI Engineer

      AI & Machine Learning
      AI Engineer — example of freelancer's portfolio work in category AI & Machine Learning
      AI Engineer (artificial intelligence engineer) is a specialist who develops, implements, and optimizes artificial intelligence-based systems. This is not just a programmer, but a technical architect of smart algorithms that can "think," "learn," and "make decisions." Simply put — a person who turns code into intelligence.

      Here’s what an AI Engineer typically does:

      … 1. Main tasks:
      Development of machine learning (ML) models — classification, regression, clustering, etc.
      Processing and analyzing big data (Big Data) — preparing training datasets.
      Working with neural networks (DL) — deep learning, computer vision, text processing.
      Integrating AI into products — web applications, mobile applications, IoT.
      Optimizing models — improving accuracy, speed, reducing costs.
      2. Skills and technologies:
      Languages: Python (main), R, Java, C++
      Libraries: TensorFlow, PyTorch, scikit-learn, Keras, OpenCV
      Tools: Jupyter Notebook, Git, Docker, MLflow
      Cloud platforms: AWS, Google Cloud, Azure
      MLOps: automating model deployment to production
      3. Where it is applied:
      Medicine (diagnosis, image analysis)
      Finance (risk prediction, anti-fraud)
      Marketing (recommendation systems)
      Industry (predictive maintenance)
      Construction (automation, planning, BIM analysis — like in your startup Inkante)
      4. Who is suitable for this profession:
      Those who love programming, solving problems, digging into data.
      Who wants to work at the intersection of mathematics, logic, and the future.
      Ideal for engineers, analysts, developers looking to enhance their skills in the field of AI.
    • 100 000 USD

      "Inkante construction process program:"

      Python
      1. Project Summary

      Brief description of the idea and its goals:

      … Startup name: Construction Process Management Application.

      Idea: Develop a platform that allows users — from designers to construction workers — to track and manage the entire building construction process in real-time through a mobile application.

      Main goal: Simplify and accelerate processes at construction sites through digitization, real-time synchronization, and error elimination through automation.


      2. Market Analysis

      Target audience: Construction companies, architectural firms, developers, designers, contractors, as well as private individuals who want to control the construction process of their home.

      Market size: The construction industry continues to actively develop, and digitization is becoming a trend. The construction technology (PropTech) market is growing and attracting significant investments.

      Competition: Project management applications already exist, but they are often not synchronized with the real construction process and do not take into account all nuances.

      Unique proposition: Synchronization with the real construction site and integration of all stages of the process — from design to completion.


      3. Product

      Product description: A mobile application that will include:

      Design management (through BIM technologies).

      Tracking and monitoring construction processes in real-time using sensors and IoT.

      Task and schedule management for all project participants (builders, managers, designers).

      Interactive maps and diagrams that update in real-time.

      Integration with other programs and systems for material and budget accounting.


      Features: Use of augmented reality (AR) technologies for visualizing construction progress.


      4. Marketing and Sales Strategy

      Promotion: Advertising through industry magazines, social media, collaboration with large construction companies.

      Pricing: Subscription model (monthly or annual) with different rates for different types of users (e.g., for small construction companies and large corporations).

      Partnerships: Opportunity to collaborate with manufacturers of construction materials and contractors who can use the application to improve logistics and management.


      5. Operational Plan

      Team: Mobile application developers, construction technology specialists, marketers, project managers.

      Development stages:

      1. Market research and target audience analysis.

      2. Development of MVP (minimum viable product).

      3. Testing on several construction sites.

      4. Launch and scaling.


      6. Financial Plan

      Investments: Initial investments for development, marketing, and testing.

      Revenue: Projected income from subscriptions, as well as possible additional revenue sources from partnerships.

      Projected profit: Approximately 2-3 years after launch, when the application will be used on several large construction projects.


      7. Risks

      Technical risks: Possibility of errors in data synchronization with the real construction site.

      Competition: Existing players in the market may start developing similar solutions.

      Client adaptation: The construction industry may slowly adapt to new technologies, especially on smaller projects.


      8. Prospects and Growth

      Functionality expansion: Implementation of AI to predict potential problems in the construction process, improvement of user interface.

      Global expansion: Opportunity to enter the international market, as the digitization of the construction process is relevant worldwide.

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