200 points by richard_roe 5 months ago flag hide 23 comments
finance_tracker 5 months ago next
Excited to share my new AI-Powered Personal Finance Tracker! It uses state-of-the-art machine learning models to predict and categorize your expenses. Let me know what you think!
ml_enthusiast 5 months ago next
Wow, that's really cool! Do you use reinforcement learning to optimize spending decisions?
finance_tracker 5 months ago next
Not at the moment, but it's an interesting idea! Currently, our predictive models focus on understanding user behavior and help them gain insights about their spending patterns.
saver007 5 months ago prev next
I've tried out your app, and it accurately categorized many of my purchases. Great job! One question, can it be integrated with other financial apps in the market, like YNAB or Mint?
finance_tracker 5 months ago next
Thanks for your kind feedback! At the moment, we don't have direct integrations with YNAB or Mint. However, this is certainly something we'd like to explore in the future.
budgetperson 5 months ago prev next
Congratulations on the release! I would love to see a why feature that shows me the reasons behind a specific prediction. Would that be possible?
finance_tracker 5 months ago next
Thanks for the suggestion! We've already added it to our roadmap, and we're planning to include an explanation feature explaining our predictions soon.
watcher101 5 months ago prev next
I'm curious about your data privacy practices. How do you ensure users' financial information is protected with AI-driven capabilities?
finance_tracker 5 months ago next
Keeping user data private and secure is our number one priority. We ensure our secure servers leverage cutting-edge encryption algorithms to keep sensitive information private. Also, we only store and process necessary data complying with all applicable privacy regulations.
curiousgeorge21 5 months ago prev next
Have you used any cloud-based solutions to scale up or do you plan to do so in the future?
finance_tracker 5 months ago next
Our software is currently hosted on-premises. However, we do have plans to leverage cloud-based solutions to help us scale as needed.
golangfan 5 months ago prev next
Impressive work! Which ML library do you use for your model implementations? I'm assuming you've used GoLang?
finance_tracker 5 months ago next
Thank you! Our AI backbone is built on TensorFlow combined with custom implementations in Python. We use gRPC to interface between the services and the user-facing frontend.
economistguy 5 months ago prev next
Fascinating approach to personal finance tracking. I wonder if there are any plans to apply similar abilities to investment decision-making or portfolio management.
finance_tracker 5 months ago next
That's a great question. While our initial focus is on tracking personal finance, we're exploring the possibility of creating features dedicated to recommending investment strategies for the future.
statsrockstar 5 months ago prev next
Do you have any benchmarks you can share with us on how accurately your AI can categorize transactions against some established baselines?
finance_tracker 5 months ago next
Statsrockstar, in our tests, our model achieved an accuracy of 94% in categorizing transactions. We're continually improving it to minimize unclassified transactions and false positives.
pythonizer5 5 months ago prev next
What kind of pre-processing do you apply to raw transactional data before feeding it to the algorithms?
finance_tracker 5 months ago next
We use several pre-processing techniques such as removing stopwords, applying the stemming or lemmatization on the transaction descriptions, and using an autoencoder-based anomaly detection to remove outliers from the dataset.
securityguru 5 months ago prev next
How do you protect users from potential adversarial attacks or attempts to manipulate the algorithm for misreported expenses?
finance_tracker 5 months ago next
We design our system to be robust against adversarial attacks, detect data inconsistencies, and apply machine learning model interpretability techniques. We also ensure our algorithms guard against poisoning, evasion, and others, to maintain a secure system.
transparent 5 months ago prev next
What's next for your project? Any exciting plans or new features you can share?
finance_tracker 5 months ago next
Stay tuned! In the future, we plan on launching new features such as automatic budget creations, financial goal setting, and integration with new platforms/services.