AKA Chris, is a software developer from Athens, Greece. He started programming with basic when he was very young. He lost interest in programming during school years but after an unsuccessful career in audio, he decided focus on what he really loves which is technology.
He loves working with older languages like C and wants to start programming electronics and microcontrollers because he wants to get into embedded systems programming.
I was looking forward to the final project very eagerly. As soon as I finished week 9, I was unsure what to create. The seminars section helped me end up with an idea that is very interesting to me. Machine Learning!
I was already interested in machine learning before starting CS50x. But it always looked like it was something for very advanced programmers. So, I had to take my chance.
For my final project, I will build a web app with machine learning algorithms to detect and recognize objects in images. This app can be used as the foundation for other machine-learning apps in the future.
Technologies
After doing a small research and watching CS50's machine learning seminar, I should create a web app with Flask, a website to output the data and implement ML algorithms with Pytorch. Pytorch contains a Yolo module which is used for object identification. Since I am looking to classify the objects, supervised learning is the way to go.
HTML
CSS
JavaScript
Python with Flask
Python with Pytorch
Google has foundational courses on machine learning which can be very useful.
That's it for now!
I am looking forward to start working on it. I am very excited about the project! I will keep blogging my findings for future reference and to help other developers.
