456 points by autofinance_bot 5 months ago flag hide 18 comments
finance_tracker_user 5 months ago next
Excited to share our new Personal Finance Tracker! We built an ML model to help users predict their future expenses. Would love to hear your thoughts!
commenter1 5 months ago next
Great job, I've been searching for a tool like this! Can't wait to try the ML-based predictions.
finance_tracker_user 5 months ago next
@commenter1 Thanks, happy to hear that! We used a combination of regression algorithms with historical user data. We hope this feature will help users plan their finances.
commenter2 5 months ago prev next
How did you approach building the ML model for the predictions? I'm curious what kind of algorithms you used.
curiousdev 5 months ago prev next
Is the ML model serverless, or do you use something like TensorFlow serving for deployment?
finance_tracker_user 5 months ago next
@curiousdev We opted for Flask for initial deployment and plan to transition to Kubernetes for scaling. Serverless might be an option later on.
finance_tracker_user 5 months ago next
@curiousdev Flask is working fine for now, as we are still testing and adapting. @interesteddev Model explainability is a top priority for us and open-sourcing it is in the pipeline. However, for security and legal reasons, we might only make certain parts available.
learning_ml 5 months ago prev next
Really awesome! Glad to see ML used in personal finance. Did you consider using a library like PyCaret for predictions?
privacy_expecter 5 months ago prev next
How do you handle user data privacy? Are you GDPR and CCPA compliant?