# Projects

## Sport with AI

<figure><img src="/files/P9TfWFC2vmR7uoHT6P3Y" alt=""><figcaption></figcaption></figure>

* Developed an application that analyzes exercise movements through image processing.
* Completed design and coding with a team of three as a thesis project.
* Used Angular for frontend, NodeJS for backend, Flutter for mobile development, and Python for artificial intelligence.
* Implemented photo uploading (EC2), text sharing (MongoDB), and caching structure (Redis) for the social media section.

{% hint style="success" %}
**Tech Stack:** NodeJS (NestJS, TypeScript), Python, Flutter, Angular, Firebase, MongoDB\
**GitHub Link:** <https://github.com/Furkan-Gulsen/sport-with-ai-monorepo>
{% endhint %}

## Turkce Go Docs (650⭐️ +)

<figure><img src="/files/6Nf8X1ZyVKIYgS6QV362" alt=""><figcaption></figcaption></figure>

This repo is a series of tutorials for those who want to learn Go quickly. It covers 40 topics in total, covering the basic structures of the language through examples.

{% hint style="success" %}
**GitHub Link:** <https://github.com/Furkan-Gulsen/turkce-go-egitimi>
{% endhint %}

## E-Commerce Microservice

<figure><img src="/files/IcozwFpK817wEdwzpGFy" alt=""><figcaption></figcaption></figure>

* To ensure a C2C portal's high availability, I designed a system with horizontal scaling, microservices, and loosely coupled services with clear communication. I also implemented a monitoring mechanism to inspect the service health and availability.
* I implemented a distributed data storage system that follows the CAP theorem and ensures high availability for both the database system and object storage across multiple regions.
* I followed the CQRS pattern to achieve a clear separation between write and read operations.

{% hint style="success" %}
**Tech Stack:** NodeJS, MongoDB, PostgreSQL, GraphQL, Redis, Docker, AWS: Serverless (Lambda), CDK, ECS, EC2, S3, API Gateway, CDN\
**GitHub Link:** <https://github.com/Furkan-Gulsen/e_commerce_microservice>
{% endhint %}

## Kubernetes Docs

<figure><img src="/files/TlNN11v8kAZTOOBaLxTU" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
I decided to tidy up my Kubernetes-related notes, articles, and projects and share them in a GitHub Repo 🎉
{% endhint %}

## Artificial Intelligence Development with TensorFlow

<figure><img src="/files/L12E14Hzgx3O1pBu9t2s" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
On this repo, there are detailed explanations and projects about deep learning and machine learning using TensorFlow in Turkish.
{% endhint %}

## Face Classification

<figure><img src="/files/J2vhaFOBz4DzAzQGNFxt" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
In this project, one or more human faces are detected in real time and predictions are made about the faces detected by AI models trained in the background.
{% endhint %}

**Tech Stack:** Python (TensorFlow)\
**GitHub Link:** <https://github.com/Furkan-Gulsen/face-classification>

## Social Distance Detection

<figure><img src="/files/0wrWo142ok3OqxdwJSqQ" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
It is a mid-level project that measures the social distance between people in the video through YOLOv3, OpenCV and algorithms, and shows this visually and numerically.
{% endhint %}

**Tech Stack:** Python (TensorFlow)\
**GitHub Link:** <https://github.com/Furkan-Gulsen/social-distance-detection>

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