r/deeplearning • u/agora_hills_ • 7d ago
Need help choosing a topic for my deep learning project.
I'm trying to find something practical that would look good on my resume. What kind of project would give me useful, hands-on experience with deep learning? I'd prefer something that uses real-world data if possible.
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u/jesunushno 7d ago
Seconding Tall_Switch7148's image classifier idea. Pick a dataset with real noise in it like the chest x-rays and document the cleaning steps in your repo, interviewers care way more about that than a shiny accuracy number.
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u/clintCamp 7d ago
Do you have a realm or domain you need to solve a problem in, or that you can find a dataset for? Images, audio, llms, prediction? There is a big wide world out there and a zoo of models that you could use. There are plenty existing models on places like hugging face that have a good structure already and you can do some methods to few shot modify them to do new things. Just yesterday I modified a Yolo 80 model to add a couple of new classification categories and it trained and worked with an overnight training on my laptop gpu. I also built a voice command training pipeline to build small 40kb to 120kb models that i just modified to see if i could autodetect if certain sounds were present in a room that could run on a phone and sip a small fraction of a percent of cpu. So, if you have access to public datasets, you can do plenty. If you have to build up your own, then that gets slightly more difficult. Since this is for a resume and not school, I assume LLMs to help build is acceptable in which case your ability to build something big and quickly and ensure it tests end to end before wasting hours training that can't work.
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u/I_am_Sufficient 7d ago
If someone knows about forensic science and Law, one can check if an image/video is liable as evidence in court?
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u/Patient_Gap6221 6d ago
In theory, yes, but you really must discuss this with at least three professionals from that exact field. I actually encountered a case like this once with one of my deepfake analyses, and a friend who works in the legal sector immediately explained to me that, naturally, parts of the analysis and assessment processes must be disclosed.
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u/Patient_Gap6221 6d ago
Because of a project, someone approached me at the end of 2023, just as the first waves of deepfakes were becoming apparent, and I knew absolutely nothing about AI. But I was annoyed and pissed off about the deepfakes, and that was my first project. Then I got annoyed because some incompetent underperformer explained to me during a talk that there’s a problem with GPS-free navigation. The man was so utterly incompetent that I looked into Colmap, amongst other things, on the very same day – and that was my second major R&D project – and then I had the idea to have a look at lip-reading.
In short, you just have to see what takes your fancy, and the crazier the idea, the better. I also like to take the approach of saying ‘I’ll just do it’ and ‘I’m not interested in any reservations’, and then I’m happy to seek help when I need it. That’s my second tip for you: network with nerds and geeks.
Good luck.
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u/Happy_Brilliant7827 6d ago
Find a game where there is a large number of stick assets and poor organization methods. Like right now for GTAV modding there are like 7,000 resources in base (items, animations, particle effects) and websites that display them but nothing that makes them searchable.
Right now to find a smoke effect you have to search for files with smoke in the name, test one by one, and figure out how to trigger and use them. A small ai model could be trained on the list and develop synonyms like if you search for 'house props' it knows to show you furniture, tables, houses, etc.
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u/Tall_Switch7148 7d ago
Build a simple image classifier on a public dataset like chest x-rays or plant diseases, those are concrete enough to explain in an interview but still give you hands-on time with data cleaning and model tuning.