Shipped this project!
This project is designed for the detection of the health state of the potato (early, late, healthy), and this is done by the following steps:
- 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 following:
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SYMPTOMS
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FINAL DECISION
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Confidence
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Scientific Context — Research Paper
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DIAGNOSIS
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IMMEDIATE ACTIONS
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TREATMENT PLAN
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PREVENTION
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EXPECTED OUTCOME
the most hard part was the part of the optimizig the code and the prompt which should follow instructions to complete the process
