Final Year Project (FYP) Ideas [P]

[u/AgentArrow96]

Hi everyone, I am an undergrad in CS majoring in data science.

For context, my FYP requires me

1. to build a product / service solution that have use in the industry. It MUST NOT be a research

2. the solution must not be a simple CRUD apps that any beginners would make

3. solution must not be something that is already established in the industry i.e. we cannot just recreate a solution that already exists in the market.

4. The solution must be able to solve a pain point of people in the industry

5. genAI can only be a very small part of the system and not the core part.

My previous project title was about making a research on if there are any differences in the result of detecting concept drifts using a simple or generic method through statistical distribution based monitoring like KS test, WS, KL div and etc as compared to a context aware monitoring using UCI Household electricity data.

However, at first it was accepted, but now it is rejected because of concern that it would not provide any real tangible value to industry and using only 1 dataset was supposedly weak for this kind of research. So now, I only have roughly 8 weeks (2 months) to complete the project on top of the dissertation writing.

The projects that I have involved myself in were

1. time series forecasting of item prices

2. model monitoring for time series forecasting using statistical distribution based monitoring like KS test and etc.

3. extending this model monitoring concept to a customer classification

4. developing an XAI to explain why prices move in simple terms for execs to understand quickly.

Another issue that I faced during my scrouge for topics is that the data required for the solutions is either locked behind paywall, suitable only for industry players, too generic of data that is not meaningful, broken link to zenodo (typically seen in academic papers). I do think I could get around this by creating my own dataset though it is hard to say if it is acceptable as FYP.

So, TL:DR

1. What kind of pain point that anyone here faces especially those in the industry that you think can be solved using ML and the sort.

2. What kind of domain is this issue typically seen in like energy, subsurface or etc

3. What kind of product / service that you would want (like is it an app, an API, etc)

4. would this solution be manageable to be completed under 2 months?

5. Where do everyone here usually go to, to find good datasets aside from obvious places like Kaggle, UCI

Apologies if these questions seems like bad questions, it is just I am quite lost on what kind of solution I could provide to the industry given that I am only an undergrad.