Updated readme

README.md

@@ -48,14 +48,6 @@ CuPy is an open-source array library for GPU-accelerated computing with Python.
 
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-## Results
-
-- Achieved maximum test accuracy of **95.36%** with batch size 128
-- Performance is comparable to an equivalent TensorFlow implementation in both accuracy and convergence speed
-- Training times and memory usage optimized using vectorized operations and strided memory access
-
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-
 ## Conclusion
 
 This implementation confirms the feasibility of building a performant CNN purely with CuPy, highlighting both computational efficiency and the educational value of low-level deep learning architectures. It provides a foundation for extending the model to more complex datasets and deeper network designs.---
@@ -66,4 +58,10 @@ This implementation confirms the feasibility of building a performant CNN purely
 
 A full project report detailing methodology, implementation, results, and analysis is available in the [`DOCS`](./DOCS) folder:
 
-[Project Report (PDF)](./DOCS/CNN_raport.pdf)
+[Project Report (PDF)](./DOCS/CNN_raport.pdf)
+
+---
+
+Track the progress of the project here: [GitHub Project Board](https://github.com/users/Doberman12/projects/3)
+
+---