So, I have to make this final year project for the last year of my cyber security degree, at first I was very motivated to make something new something unique for my FYP and decided to make an AI based NIDS system, that will comprise of 4 AI algorithms, 2 supervised, decision tree and random forest, and 2 unsupervised, isolation forest and autoencoders. For the first part of the FYP I had to make the supervised part for which I took NIDS dataset from university of queens website and trained the models on the 2 algorithms. Now me having no idea or knowledge about AI somehow managed to make the thing an make it look like it was working which it is to some extent, it is basically 2 pkl files which predict the whether the packet is an attack packet or benign. Which I think was not the right way to it, and could have been done in a way that the model still keeps on learning on the new packets it was receiving after it was trained on the initial dataset. Now I have to work on the unsupervised part of the project and the whole IDS, and again I know I will have to watch 100s and 100s of tutorial read 100s of theories on it and somehow I will manage to make it work in the end but I don't really want to do it like that again because it was such a hassle. So I wanted to know if there is like a similar open source project, similar to the one described above, which I can tweak and reshape into what I have to present, or if there is any tutorial(s) that I can watch and work along to make the project. Or any other help or suggestion anyone can give me on how I should make this project would be very helpful and appreciate.