work review

 Work Review till 6.5.24

• The deep learning model that we have:
• takes input as an image of an MRI of the brain
• output: classification as Alzheimer's and Parkinson's disease.
• We have completed the research part on the disease for the text generation on the disease and documented how it will be generated.
• As we have only two types of disease in this classification we have two approaches for this either template format or taking a pre-trained LLM model and training them on data related to Alzheimer's and Parkinson's disease.
• We are moving forward with the template format first. The here objective is to have our second model ready which will generate the output based on the output of our deep learning model. 
• Our deep learning model gives output as the classification if the MRI is of Alzheimer's or Parkinson's disease it doesn't classify the MRI in a mild case or severe case so we can't have a detailed report we can only have the report as what is the disease, symptoms, risk factors, treatments. We can't give a detailed or different report for each time the same disease is detected. 
• We have completed the coding part of the template format.
• We are facing some issues while running the deep learning model which will be resolved by today
•  After running the model we need to integrate both models together which is the first model's output will be the second model's input and then generate the image.