This project is designed for the detection of the health state of the potato (early, late, healthy),
- A CNN model that detects the state depending on the Kaggle data
- This CNN model connects to the RAG model
- This RAG model can get the …
This project is designed for the detection of the health state of the potato (early, late, healthy),
- A CNN model that detects the state depending on the Kaggle data
- This CNN model connects to the RAG model
- This RAG model can get the information from the research papers
- This RAG is connected to the LLM model, which can detect:
- the most of the code in notebook because the model is the core of this project
The time of the training of the model is counted in hackatime, and I have edited the hyperparameters a lot to get the highest accuracy, so I mentioned that to be very loyal and not Freud’s work.
the second , I have struggled from upload this project on the github because the project is more than 100 mb because of the trained file of the deep learning model so i have followed and random steps from youtube to try upload it and i tried to upload it manually so please i have mentioned that here to be very loyal with you. and idk if that allowed or not
I have used AI to write the system prompts for the LLM models just I have used it for that writting system prompt
