You will get Real-time card game analysis workflow | AI integration | AI agent developer
Top Rated
Top Rated
Project details
You will get a real-time scoring assistant that achieves 99 percent accuracy and processes video with
minimal latency. As the AI agent builder on this project, I turned a complex camera feed into a
functional mobile tool. I designed a sophisticated AI integration using Python and Computer Vision to
detect and classify cards instantly. The solution leverages AI machine learning to interpret game
dynamics using efficient models. My work involved deep AI Model Integration, where I trained an
Artificial Neural Network and optimized it for iOS using CoreML.
Beyond visual recognition, the system uses AI generation to provide live strategy tips. This ensures that
users receive not just scores, but actionable content generation based on live play. My role included
Machine Learning expertise and careful Project Management to ensure the mobile-first pipeline
remained lightweight. This Artificial Intelligence solution provides real-time data analysis, allowing
players to focus on the game while the assistant handles the math. By merging Deep Learning with
mobile optimization, I delivered a high-speed tool that works offline and ensures a seamless user
experience.
minimal latency. As the AI agent builder on this project, I turned a complex camera feed into a
functional mobile tool. I designed a sophisticated AI integration using Python and Computer Vision to
detect and classify cards instantly. The solution leverages AI machine learning to interpret game
dynamics using efficient models. My work involved deep AI Model Integration, where I trained an
Artificial Neural Network and optimized it for iOS using CoreML.
Beyond visual recognition, the system uses AI generation to provide live strategy tips. This ensures that
users receive not just scores, but actionable content generation based on live play. My role included
Machine Learning expertise and careful Project Management to ensure the mobile-first pipeline
remained lightweight. This Artificial Intelligence solution provides real-time data analysis, allowing
players to focus on the game while the assistant handles the math. By merging Deep Learning with
mobile optimization, I delivered a high-speed tool that works offline and ensures a seamless user
experience.
What's included $1,200
These options are included with the project scope.
$1,200
- Delivery Time 30 days
- Number of Revisions 1
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
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Audrey R.
May 1, 2026
Pose Estimation Engineer for Video Movement Analysis Pipeline
Great communication across the team especially project management. Strategic upfront conversation helped enable a strong test product to confirm feasibility of full brand platform.
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Ron Z.
Feb 18, 2026
AI Clipping & Highlights for Baseball/Softball
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Marcus S.
Jan 12, 2024
Data-set annotator
JF
John F.
Nov 30, 2023
Data Annotations
Anastasiia's work as a data annotator was exceptional. Her attention to detail and accuracy significantly improved the quality of our data sets. Her dedication and efficiency in handling large volumes of data were impressive. I highly recommend Anastasiia for her meticulous work and professionalism
MS
Mridula S.
Nov 11, 2021
Data Labelling Specialist
About Anastasiia
AI integration | AI agent builder | AI generation
100%
Job Success
Kharkiv, Ukraine - 1:16 am local time
As an AI integration specialist, AI agent builder, and AI generation engineer, I help product teams automate complex workflows, cut manual overhead by 30 to 50%, and ship intelligent features in weeks rather than quarters. Over 5 years across healthcare, fintech, ecommerce, and media, I have partnered with 25+ companies to bring AI from concept into production, delivering systems that run reliably and create measurable business outcomes from day one.
My job as an AI integration specialist is to close the gap between "we want to use AI" and "it is
running in production." Good AI integration does not start with picking a model. It starts with
understanding the workflow, the data quality, and what success looks like. I have done enough
AI integration work to know that most projects fail at the requirements stage. Strong AI
integration means asking the uncomfortable questions early. Each AI integration project I deliver
connects cleanly to the existing stack: wiring a Machine Learning model into a React frontend,
building a Node.js API layer between a GPT pipeline and a legacy system, or configuring AI
Model Integration through Zapier and custom webhooks. The AI integration work I value most is
not the most complex. It is the most precise. When AI integration is done right, it creates
leverage that compounds over time.
As an AI agent builder, I build autonomous systems that handle real business tasks without
constant human supervision. An AI agent builder working on customer support automation
thinks about conversation flow, escalation logic, and edge cases the system has never seen. An
AI agent builder building a document processing pipeline thinks about extraction confidence
and what happens when the model is uncertain. I have shipped as an AI agent builder on
platforms handling thousands of daily interactions, using Natural Language Processing, GPT,
Deep Learning, and AI Model Integration to connect intelligent behavior to real business
systems. The best AI agent builder outcomes reduce manual processing time by 60 to 80%.
Strong AI agent builder thinking means designing failure modes as carefully as the happy
path. I have worked as an AI agent builder on email triage systems, lead qualification
pipelines, RAG-based knowledge retrieval agents built on Artificial Neural Network
architectures, AI Bot implementations, and computer vision inspection tools across multiple
industries. An experienced AI agent builder knows that autonomous behavior only creates
value when the system is auditable and maintainable long after the engagement ends.
The AI generation side covers natural language generation, content generation, and creative
automation at scale. As an AI generation specialist, I build systems producing structured, high-
quality output across formats: written content, data summaries, product descriptions, and visual
assets. Good AI generation is not just prompting a model. Strong AI generation requires prompt
engineering, output validation, quality filtering, and human review checkpoints. I deliver AI
generation pipelines in Python, integrated with Node.js, JavaScript, and React, producing
consistent nlg output at volume. Whether a business needs AI generation for content at scale,
automated reporting, or natural language generation summaries from Data Analysis and Data
Science pipelines, the challenge is the same: making AI generation reliable enough to trust in
production. I have shipped AI generation systems for ecommerce, media, and internal
documentation using TensorFlow, PyTorch, LangChain, and Computer Vision layers. The most
mature AI generation work combines content generation with quality gates that catch what the
model gets wrong.
I work as a Python developer, data scientist, full stack developer, web developer, and digital
consultant depending on what the engagement requires. The AI machine learning and GPT work
I do is always grounded in a business outcome, never a technical showcase.
Whether you need an AI integration specialist to connect intelligent features to your stack, an AI agent builder to automate complex workflows end-to-end, or an AI generation engineer to
build content generation and NLG pipelines at scale, I bring technical depth, product judgment,
and direct communication to every engagement.
Steps for completing your project
After purchasing the project, send requirements so Anastasiia can start the project.
Delivery time starts when Anastasiia receives requirements from you.
Anastasiia works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & Requirements Clarification
We begin with a focused call or written brief where I gather all necessary details about your app idea, target audience, and business objectives. Together, we define the feature set and prioritize scope for the selected package