Update README.md

README.md

@@ -16,7 +16,6 @@ This model is a custom CNN architecture trained to classify 8 categories of vehi
 
 ## 📝 Model Card
 - **Architecture:** 3-Block Custom CNN (Not Pretrained)
-- **Parameters:** ~12.8M
 - **Target Accuracy:** >50.0%
 - **Final Test Accuracy:** 78.54%
 
@@ -36,7 +35,13 @@ To align with AI Safety principles, the following design choices were implemente
 - **Edge Cases:** Slight confusion between 2-wheeled vehicle classes (Bicycle/Motorcycle).
 - **Environment:** Performance has not yet been validated for low-light or adverse weather conditions.
 
-## 🛠️ Key Projects
+## 🔗 Links for this project
+* **[GitHub Repository](https://github.com/abhiprd200/vehicle_classification_model-utd)**
+* **[Hugging Face Model Card](https://huggingface.co/abhiprd20/vehicle_classification_model-utd)**
+* **[Hugging Face Spaces Deployment](https://huggingface.co/spaces/abhiprd20/vehicle_classification_model-utd)**
+* **[Published Technical Note](https://zenodo.org/records/19098404)**
+
+## 🛠️ Other Key Projects
 * **Language Datasets**: Curated and published 100k+ rows datasets for low resource languages on Hugging Face for regional NLP research.
 * **CNSD Model Architecture**: Authored research on neural network configurations for optimized feature extraction.
 * Custom 4 sentiment models, 1 vehicle classification model and several datasets.
@@ -47,11 +52,6 @@ To align with AI Safety principles, the following design choices were implemente
 * My github with other projects : https://github.com/abhiprd200
 
 
-## 🔗 Links for this project
-* **[GitHub Repository](https://github.com/abhiprd200/vehicle_classification_model-utd)**
-* **[Hugging Face Model Card](https://huggingface.co/abhiprd20/vehicle_classification_model-utd)**
-* **[Hugging Face Spaces Deployment](https://huggingface.co/spaces/abhiprd20/vehicle_classification_model-utd)**
-
 
 ## Contact
 * E-mail : abhiprd20@gmail.com