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 # intel-oneAPI
 
-#### Team Name -
-#### Problem Statement - 
-#### Team Leader Email -
+#### Team Name - Mediage
+#### Problem Statement -  Medical Image Processing
+#### Team Leader Email - krishnamr939@gmail.com
 
 ## A Brief of the Prototype:
   This section must include UML Daigrms and prototype description
+  ### Process Flow Diagram
+  <img width="1156" alt="Screenshot 2023-05-07 at 6 26 27 PM" src="https://user-images.githubusercontent.com/75253527/236686679-9685a002-5360-46a6-957d-0cf0a89f2495.png">
+  
+  ### Data Flow Architecture
+  <img width="744" alt="Screenshot 2023-05-07 at 7 37 24 PM" src="https://user-images.githubusercontent.com/75253527/236686698-cbcda15f-acbc-494e-8f1e-971d48050e17.png">
+
   
 ## Tech Stack: 
    List Down all technologies used to Build the prototype **Clearly mentioning Intel® AI Analytics Toolkits, it's libraries and the SYCL/DCP++ Libraries used**
+   1. SYCL/DPC++ - Comparing CPU/GPU and FPGA for our pre and post-processing results, Considering SYCL and maintaining less data movement between host and device and after model construction, we use this library to fasten our predicting process, and this makes it faster.​
+   2. Intel® oneAPI Data Analytics Library​- Feature Selection and Feature Extraction Process and Visualization of Images.​
+   3. oneAPIDeep Neural Network Library​ - Making a CNN model to detect pre-early Alzheimer's.​
+   4. Intel® Distribution for Python​ - For the construction of model.
    
 ## Step-by-Step Code Execution Instructions:
   This Section must contain set of instructions required to clone and run the prototype, so that it can be tested and deeply analysed