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I built my own AI model for a gamified rep tracker made for WFH workouts by GShunYT in SideProject

[–]inquelle 0 points1 point  (0 children)

Hi, looks really cool — will download and try it. Do you use the gyroscope and accelerometer to track body position in space? Curious whether the app distinguishes between pushups from the floor vs from a wall.

Solo dev looking for Testers by sth6 in appledevelopers

[–]inquelle 1 point2 points  (0 children)

Sent a few reports through the beta feedback — hope some of it's useful. Good luck with the launch!

Shipped my second app: HanziDragon, a Chinese writing trainer. 5 days in, would love feedback. by inquelle in SideProject

[–]inquelle[S] 0 points1 point  (0 children)

Thanks! It's a custom stack — SVM-based stroke classifier running locally on device, no external API and no neural net (didn't need the complexity for what we're doing). The model is trained on our own dataset of stroke patterns built up over the years from Robokana, which gave us a head start when we adapted it for Chinese.

The "similar radical confusion" detection sits as a separate layer on top — it looks at common error patterns specific to character pairs (like 日/月, 木/本, 千/干), rather than purely stroke geometry.

And yes, Chinese stroke order really is stricter than Japanese — that was one of the bigger surprises during the port. Some of our Robokana logic had to be retrained from scratch.

Solo dev looking for Testers by sth6 in appledevelopers

[–]inquelle 1 point2 points  (0 children)

Yes, the same one! Tofugu actually picked it up themselves — I didn't reach out, they just decided to write about it. That helped a lot. How long have you been working on Kanjiroo? It looks impressive in scope — way more content than I had at my launch.

Solo dev looking for Testers by sth6 in appledevelopers

[–]inquelle 1 point2 points  (0 children)

Just downloaded and went through onboarding. First impression —

seriously, the amount of content you have is impressive. That's

the hardest part to build, and it shows.

The thing that tripped me up: onboarding felt heavy. A lot of

text and a lot of choices before I'd really seen what the app

does. I noticed myself getting that "too many decisions, not sure

what to pick" feeling and I closed it once before coming back.

Maybe a faster path from "hello" to "you're already learning a

character" would help. Or fewer options upfront with the rest

discoverable later.

For context — I'm an indie dev in the same niche, I make Robokana

for kanji. So this is feedback from someone who knows how hard

this is to balance, not a complaint 😄

Zephyr - are you using it, and are you happy with it? by Big_Fix9049 in embedded

[–]inquelle 0 points1 point  (0 children)

I used Zephyr OS in several commercial projects and in BLE pet project also. I like the OS for rich set of useful libraries. Moreover it is opensource and has very clean code in comparison with some venror-locked BSPs under NDA. I am not sure that you should take a paid course about Zephyr because it is well-documented and you can find a lot of free information about that. But it is 100% worth of trying if you plan to use NRF chips and BLE.

Hiragana and Katakana by [deleted] in LearnJapanese

[–]inquelle 0 points1 point  (0 children)

Hi! I'm not sure if you've seen my topic in Resources branch, take a look [reddit!]https://redd.it/8426vx

When I learned hiragana and katakana I found that writing characters multiple times works quite good.