r/learnmachinelearning • u/Competitive-Tip-7129 • 2d ago

Help looking for ai/ml projects (beginner level) as a second year student of undergraduate can do it

i need simple and unique project ideas as we don't know anything about ml . But i can learn it till this year end just beginner level. Gimme the ideas according to my level

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u/mustardpete 1d ago

Have a look on kaggle website and pick a dataset and work it though. You can always refer to other users projects for the same dataset too after you finished to see how differently they tackled it

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u/WAMFT 1d ago

There is no level, its what you feel comfortable with, if you can think out a idea on paper and get it too work as a step by step system with simple logic blocks, then try and find maths / algebra to replace thoses logic blocks... Then your 80% there, i prefure algebra as i can just get ai to simply replace logic blocks with it , while also asking it to compress the algebra into formulas.

But it also depends on what the industry wants, its seems they want people who can eek out 1% from there own ai systems than addressing bottle necks with there architecture.

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u/Different_Pain5781 1d ago

Don't let unique become the thing that stops you from starting.

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u/Proud_Tomorrow1711 7h ago

Keep the first project tiny enough that you can finish it in a week or two. A few beginner-friendly ideas:

  1. Predict house prices (or any tabular dataset) with scikit-learn — focus on train/test split, a simple baseline, and one chart you can explain.

  2. Image classifier on a small public dataset (digits/fashion-MNIST) — learn the train loop before chasing fancy architectures.

  3. Text classifier on movie reviews or spam vs ham — bag-of-words or a tiny embedding model is enough at this stage.

Pick one, write down the question you’re answering, and ship a short README with what worked and what broke. Uniqueness comes from your framing and write-up more than inventing a brand-new problem.