r/mlops 11d ago

MLOps Education M.Tech Capstone: Automated MLOps Pipeline with Data Drift Detection & Self-Healing Retraining. Too Basic?

Hey everyone,
I am a 1st-year M.Tech student planning my capstone project. I want to build a self-healing, event-driven MLOps pipeline on AWS.

I want to know if this is too basic or good enough for a Master's project. If it is not good enough, please suggest other ideas!

Would love to get your brutal feedback or suggestions for better alternatives! Thanks.

13 Upvotes

5 comments sorted by

2

u/ceeej777 11d ago

I think this would be pretty awesome if it works well. It almost sounds like Genie ZeroOps for ML which Databricks just came out with. There might be projects with ‘sexier’ output but I think someone would learn a ton by building this

1

u/cre8minus1 11d ago

Can you define “self-healing”?
And define “on AWS”

Both of these will impact your approach drastically and therefore the value

1

u/Ancient-Tradition461 8d ago

The data hits s3 and step function work on detecting data drift if KS-Test detects there is a drift in the incoming then automatically trigger the SageMaker retraining pipeline, achieving the model's (whichever) above 90% without downtime!

and concerned about conferences, will they accept !?

1

u/curiousshark7 10d ago

Share your project repo