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README.md

@@ -4,7 +4,7 @@
 
 AgriBot is a machine learning model for diagnosing maize (corn) leaf diseases. The model uses MobileNetV2 as a feature extractor combined with Logistic Regression for classification, achieving 94% accuracy.
 
-This model was developed by **Ekip Crusaders** during the **AYITI IA 2025 Hackathon** (November 28-30, 2025).
+This model was developed by **Crusaders** during the **AYITI IA 2025 Hackathon** (November 28-30, 2025).
 
 ## Model Details
 
@@ -131,11 +131,11 @@ print(f"Confidence: {confidence:.2f}%")
 - **Classifier**: Logistic Regression
 - **Training Framework**: PyTorch + scikit-learn
 - **Hackathon Duration**: 3 days (November 28-30, 2025)
-- **Team**: Ekip Crusaders
+- **Team**: Crusaders
 
-## Team - Ekip Crusaders
+## Team - Crusaders
 
-This model was developed during the AYITI IA 2025 Hackathon by Ekip Crusaders team members.
+This model was developed during the AYITI IA 2025 Hackathon by Crusaders team members.
 
 **Hackathon**: AYITI IA 2025  
 **Dates**: November 28-30, 2025  
@@ -164,7 +164,7 @@ The web app provides:
 
 MIT License
 
-Copyright (c) 2025 Ekip Crusaders
+Copyright (c) 2025 Crusaders
 
 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
 
@@ -178,7 +178,7 @@ If you use this model in your research or application, please cite:
 ```bibtex
 @software{agribot_crusaders_2025,
   title={AgriBot: Maize Leaf Disease Diagnosis Model},
-  author={Ekip Crusaders},
+  author={Crusaders},
   year={2025},
   month={November},
   howpublished={AYITI IA 2025 Hackathon},