AI Personal Trainer

Second Devlog
As promised this one will introduce the demo, it took me longer than expected. I hosted the demo on my home server so fortunately no extra costs there:)
The demo itself sits on its own branch which has demo users, and uses Open Router as the LLM provider. The demo uses the google/gemma-4-26b-a4b-it model, since that was the closest one to which I am using locally which is: google/gemma-4-12b-qat. Apart from using a external LLM provider for the demo I also added multiple user support. They aren’t protected by passwords or anything, but should give you the chance to try out your own situations whether real or fake (the app doesn’t log any data). Surprisingly Open router has a much bigger latency than locally hosted LMstudio, so please be patient.

Any feedback in the comments would be amazing.
LonleySailor

This is my first devlog on my personal AI trainer, which is supposed to use a Local AI model running on my laptop to guide me through my fitness journey. I am in the process of pushing the MVP to a working state ASAP to be able to use it, that is why a lot of things are hard coded and the UI is bad. The main elements included creating a set of tools for the AI to call to get the needed information, adding the equipment I have (first screenshot), adding a profile with core data such as health conditions, fitness goals and exercise one may just dislike and hate doing(second screenshot). Workout starts simply, you input the time you have for the given day, mood/energy + sleep quality and some short term medical issues like maybe a twisted ankle (screenshot number 3) . The MVP introduces only 1 type of workout, the step-by step where your clicking through what you have done, as well having a timer to track the breaks between sets (Screenshots 4 and 5). Are there issues, of course, the workouts the AI gives are not consistent, the tools need working on, many things are hardcoded and it only works with LMStudio for now, but I am happy and proud of where it is going!!! unfortunately you can’t try it out without downloading LMstudio and running a model with it yet,however for the next devlog I will host it on my server with a openrouter API key so you can try it out without having to load in locally. See you next time,
LonleySailor