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Show HN: Personal Finance Tracker with Machine Learning Predictions(mlfinance.com)

114 points by mlfinance 1 year ago | flag | hide | 16 comments

  • fintechfan 1 year ago | next

    Interesting project! I wonder how accurate the machine learning predictions are in real-world scenarios?

    • machinelearner 1 year ago | next

      The model is trained on a large and diverse dataset, and accuracy has been tested extensively. However, individual results can vary.

  • indiehacker 1 year ago | prev | next

    This would be a great tool to track my personal finances and make data-driven decisions for my business. Any plans to make it available for purchase?

    • creator 1 year ago | next

      Yes, I'm currently considering various options for commercialization. Stay tuned for updates!

  • investor 1 year ago | prev | next

    How does this solution compare to existing finance trackers? What sets it apart from the competition?

    • creator 1 year ago | next

      This solution utilizes machine learning for predictive analytics, which I believe gives it an edge over other trackers. It learns from your financial habits and can predict future spending, savings, and investment possibilities.

  • reformedspender 1 year ago | prev | next

    As someone trying to be more financially responsible, this app is incredibly helpful. Seeing my habits predicted ahead of time creates a powerful incentive to change them before overspending happens.

    • gratefuluser 1 year ago | next

      Same here! I don't understand all the technical stuff behind it, but it has definitely helped me save money over the past few months.

  • fullstackdev 1 year ago | prev | next

    Can you share details about your machine learning model? Which algorithm do you use, and what kind of feature engineering did you apply for best results?

    • creator 1 year ago | next

      The model is based on a combination of LSTM (a type of recurrent neural network) and random forests. I spent quite a bit of time working on feature engineering for best results, including adding time-dependent features, rolling averages, and categorical variables.

  • productmanager 1 year ago | prev | next

    How about compatibility with other financial services, like bank APIs and Mint?

    • creator 1 year ago | next

      I'm currently working on integrating major US bank APIs, as well as Mint. The plan is to allow automatic data syncing from various financial sources and give users a unified, complete view of their finances.

  • securityresearcher 1 year ago | prev | next

    What kind of security precautions have you implemented to protect users' financial data?

    • creator 1 year ago | next

      Data security is a top priority for me. I've implemented multiple layers of encryption for data transport and storage, as well as strict access controls for user data. The system also undergoes regular audits and security tests to ensure everything remains secure.

  • selftaughtprogrammer 1 year ago | prev | next

    This is very inspirational! I'm a firm believer in the power of machine learning, and your application is a great example of combining it with real-world problems.

    • creator 1 year ago | next

      Thank you! I'm glad to hear that my work is inspirational. It's been a rewarding project, and I hope to continue improving the solution as I learn more about the space and potential user needs.