Update README.md

README.md

@@ -2,21 +2,15 @@
 license: mit
 language:
 - en
----
-license: mit
 tags:
+- computer-vision
+- imageomics
+- ecology
+- climate-change
+- tabular-classification
+---
 
-computer-vision
-
-imageomics
-
-ecology
-
-climate-change
-
-tabular-classification
-
-🪲 Beetle Drought Predictor (HDR-SMood Challenge)
+# 🪲 Beetle Drought Predictor (HDR-SMood Challenge)
 
 This repository hosts the official model weights for Team nebiyu's first-place submission to the Imageomics HDR-SMood Challenge.
 
@@ -30,7 +24,7 @@ Model Type: Deep Learning Regression (Vision + Metadata)
 
 Format: Keras (.keras)
 
-License: MIT
+
 
 🔗 Training Code & GitHub Repository
 
@@ -48,11 +42,11 @@ To load this model locally for inference:
 
 import tensorflow as tf
 
-# Load the model
+## Load the model
 model = tf.keras.models.load_model("best_beetle_model.keras")
 
-# The model expects a tuple of inputs: (images, metadata)
-# predictions = model.predict([image_batch, metadata_batch])
+### The model expects a tuple of inputs: (images, metadata)
+### predictions = model.predict([image_batch, metadata_batch])
 
 
 For the complete batch inference pipeline, including dynamic image resizing and metadata handling, please refer to the model.py script in the linked GitHub repository.