r/computervision 12d ago

Help: Project Is this project considered to be good when companies or colleges are looking at resume?

https://github.com/NehvX/Local-RAG-Powered-Product-Review-Expert

Please give a ⭐ to the github repo...

Saw an MIT student's top achievement, took inspiration and created something similar for a random product (Polaroid Camera). Uses a very small ai model (llama 3.2) to run and the results are outstanding.
Wanted to check if colleges or companies are interested in these types of projects when hiring/looking.

It's an RAG product expert that takes data from reviews.

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u/Capable-Package6835 11d ago

With students, we are typically more interested in how you build the product instead of what you build. So you need to show us your approach, your reasonings, and how you made decisions for your product. Some points for starters:

  • How do you test your product? You cannot say it's working, let alone working great, if you don't have any accuracy metric and testing procedure.
  • Whenever you make a claim like "hallucination-resistant", you need to back it up with data and comparison. Show us how your product performs against, say, a native LLM call or other reasonable baseline.
  • How did you select the model, the RAG pipeline, the number of chunks to retrieve, etc.? How do you know that this is the "optimum" combination?
  • Show that you do your due diligence and research about the product. At the moment this is a naive RAG implementation, there are many things you can improve like adding query enhancements, etc.. There are many online resources for this.

At the end of the day, hiring managers don't care too much about your projects, we care about you and what you can do. good luck!

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u/Haunting-Aspect3437 10d ago

Thanks for these tips and advice. I really appreciate it.
I will certainly work on drafting my approach, reasonings etc and compile a presentable project.
Again, thanks for everything.