You will get AI-Powered Tennis Match Analysis Using Azure OpenAI
Project details
An intelligent cloud-native system that revolutionizes tennis scouting by automating tactical intelligence extraction from YouTube match videos using Azure OpenAI GPT-3.5 Turbo. This graduation thesis project (Grade: 5.0/5.0) reduces analysis time by 95% - from 10-15 hours to under 5 minutes per match. Built with Python Flask backend, Angular frontend, Azure AI Search for semantic queries, PostgreSQL database, and deployed on Azure cloud. Features include automated transcript extraction, AI-powered tactical analysis, vector embeddings for semantic search, and real-time processing visualization. Successfully deployed and production-ready, demonstrating advanced AI integration, full-stack development expertise, and ability to solve real business problems with measurable results.
AI Development Type
Knowledge Representation, Recommendation SystemAI Tools
Azure Machine LearningAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 14 days | 28 days | 42 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | ||
Detailed Code Comments | |||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Frequently asked questions
About Slobodanka
Azure OpenAI Developer | Spring Boot & .NET APIs | Python, Angular
Gevgelija, North Macedonia - 7:20 pm local time
reliable, and high-performing software systems. I combine cutting-edge AI technology with solid
software engineering to build scalable, high-performing systems. My expertise spans Azure
OpenAI integration, backend API development (Spring Boot, .NET), and modern frontend
frameworks (Angular). I'm passionate about creating solutions that not only work flawlessly
but also deliver measurable value to businesses.
Over the years, I’ve worked on multiple academic and professional projects, from backend
systems and data-driven applications to cloud-native architectures. I love bringing structure
and clarity into complex projects, ensuring that every part of the system is optimized,
well-documented, and easy to maintain.
🧩 How I Work:
1. I start every project by understanding the client’s goals, business needs, and technical
requirements.
2. I plan the right architecture and tools — focusing on performance, scalability, and
security.
3. I build clean, well-tested solutions using modern best practices and automation.
4. I communicate clearly, give regular updates, and make sure deadlines are met.
⚙️ My Technical Expertise:
● Languages & Frameworks: C#, ASP.NET Core, .NET Framework, Java, Spring Boot,
Python, Angular
● Cloud & DevOps: Azure, CI/CD Pipelines, Docker, GitHub Actions
● Architecture & Design: RESTful APIs, Microservices, MVC, SOLID, Clean Architecture
● Databases: SQL Server, PostgreSQL, MySQL, Entity Framework
● Tools & Platforms: Visual Studio, Linux, Postman, Azure DevOps
🌟What’s important to me:
Quality, collaboration, and transparency. I believe every successful project is built on trust and
communication, not just code. I enjoy helping clients turn their ideas into real, working solutions
that perform well and can grow over time.
If you’re looking for someone who can combine technical expertise with clear communication
and reliability
I’d love to help bring your project to life. Let’s build something amazing together!
Steps for completing your project
After purchasing the project, send requirements so Slobodanka can start the project.
Delivery time starts when Slobodanka receives requirements from you.
Slobodanka works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Planning
Comprehensive requirement gathering, technical architecture design, database schema planning, API endpoint design, Azure service selection, and project timeline definition with clear milestones.
Backend Development
Set up Flask application structure, implement Azure OpenAI integration, develop data processing services, create database models with SQLAlchemy, build REST API endpoints, implement error handling and logging, and write unit tests.