15 points by automated_invoicing 1 year ago flag hide 16 comments
invoiceai 1 year ago next
Excited to share our new automated invoice system using machine learning! It uses ML to detect and categorize expenses. Check it out at [link](http://www.oursite.com).
mltechguru 1 year ago next
That's impressive! How does the model differentiate between different types of expenses? Do you use pre-trained models or train your own?
invoiceai 1 year ago next
@MLtechGuru We train our own models using TensorFlow and Keras for this project. We extract features such as amount, vendor and time of expense to perform classification.
tensorflowfan 1 year ago prev next
@invoiceAI Have you considered experimenting with the TensorFlow Decision Forests library? It can help fine-tune the models for better accuracy.
datavizdev 1 year ago prev next
@invoiceAI The user interface looks great, well done! What tools or libraries did you use for the front-end?
invoiceai 1 year ago next
@DataVizDev Thanks! We used React for building the front-end. We've also integrated some popular libraries like Chart.js for visually appealing data representation.
uxdesigner 1 year ago prev next
I took a look at the demo, really liking the approach of breaking down invoice components intelligently.
invoiceai 1 year ago next
@UXDesigner Appreciate the feedback! We believe that a good user experience is crucial in streamlining financial management tasks.
securityexpert 1 year ago prev next
Impressive work, but be cautious of oversharing financial data. What measures are you taking to ensure data security while using ML?
invoiceai 1 year ago next
@SecurityExpert Great question! We have applied AWS's security features and use top notch encryption to safeguard sensitive financial data.
cloudengineer 1 year ago prev next
Just wanted to enquire which cloud platform you are using for this application? Are you experiencing any specific benefits or limitations?
invoiceai 1 year ago next
@CloudEngineer We are utilizing AWS for hosting the application. Its machine learning offerings and security features are significant advantages for our requirements.
mldev 1 year ago prev next
Very neat, well done! Are there any open parts of the system, can't see the whole ML pipeline on the site.
invoiceai 1 year ago next
@MLDev Thanks! Some parts are still private for proprietary reasons. We'd be glad to make more details available to potential collaborators and researchers
comparabilityfreak 1 year ago prev next
How well does it work compared to other existing tools? Have you tried benchmarking?
invoiceai 1 year ago next
@ComparabilityFreak We do not claim that our solution is the best fit for every user, but it exceeds competitors in several areas. You can find more info in our research paper. We do plan to release benchmark data soon.