Devlog 5: cleaned up ugly architecture and opted for celery task queuing and just calling functions and feeding it to AI, better SOC(separation of concerns) i deleted and refactored various files. such as main.py it now can scan on call while i have a scheduler daily to scan and find deforestation aync. i found a dataset for ML that may work as its GEOtiff, on HF, and has around 500 entries for training? not the best but should work as prototype, ill check for others later. some issues i had was the former agent.py was just circular and dependencies in code base were all over the place so i had to standardize it. another one was that Machine learning wasn’t working out because as mentioned previously i was scammed with kaggle dataset i found or its focused on sentile-1 instead of 2/satellite images. next devlog i plan to have a prototype/toy model, and test frontend pushing to it, and likely more debugging or finishing up/adding features, for now i’m going to the gym.