I worked on 2 things this time. One, I used Ollama to use a model, like Qwen 0.7b, a lightweight LLM model, to process the app, title, and study goal and then it would return S for safe, A for ask before, and D for distracted. The decisions for A also get stored in a cache with SQLite. Then, I made a rough program that will get the app name and title using windows and return it.
I have completed the beginning steps. I have first made a UI for it, show below using something called PySide Designer, where you can use drag and drop to make a UI to your liking. I then connected them to my code, like the timer label to the timer, the webcam label to the webcam, etc. Then I fixed some timer issues, improved the pause functionality, and made a total and distraction time length. Lastly, I made a database using SQLite, and I made a save dialog that can save it to the database.
PS: The webcam is blank because I did not want to show my face.
I polished the face detection, so it has a timer on for how long you were studying. I also added ultralytics object detection which detects phones for me at this early stage. Now I am working on the UI with the drag and drop PySide QT Widgets.
I finished working on my face detector using media pipe. This is very early stages as it can only detect if there was a face found and then it will print it out.
