What I'm developing
ClusterStack (clusterstack.io) is an application which aims to help migrants understand where to go, I'm using machine learning and deep learning to generate predictions and classification to users.
Which features I'll apply using Machine Learning:
With the machine learning engine, I have enough amount of data today to generate predictions, but it will need more for "fine-tuning". Also with the data, I can provide countries "basic" information for migration.
Which countries are listed:
Alright, guys, as my first daily stand-up here, I'll define here what I've achieved so far for V1
What is needed to accomplished full V1 of the app:
I'm still struggling with when to release my app for beta testing using external users, any thoughts?
Hey Tek, we're in a very different space but had a similar issue of knowing when to start with testing.
My recommendation would be to begin testing as quickly as possible. Find people who would be willing to work with you on developing the product. Be open about how you're trying to benefit them but at the same time needing their input.
There's no reason not to start once you have the basic functions down - it'll never be 100% so why not start? Good luck!!!
Thank you for your answer. Yeah, I'm really going forward for the beta testing, I've just realized I'm seeing the app through my eyes and it'll be better to understand the behavior of the user as well. Thanks!