doc: documented all the functions that we have done till now

.gitignore

@@ -60,3 +60,4 @@ models/.gitattributes  #<-- This line can stay if you only want to ignore that f
 
 todo.md
 np_text_model
+IMG_models

docs/api_endpoints.md

@@ -73,3 +73,20 @@ curl -X POST http://localhost:8000/NP/upload \
   -F 'file=@NepaliText.pdf;type=application/pdf'
 ```
 
+
+### Image-Classification -`/verify-image/`
+ 
+| Endpoint                         | Method | Description                               |
+| --------------------------------- | ------ | ----------------------------------------- |
+| `/verify-image/analyse`           | POST   | Classify Image using ML                   |
+
+
+#### Example: Image-Classification 
+```bash
+curl -X POST http://localhost:8000/verify-image/analyse \
+  -H "Authorization: Bearer <SECRET_TOKEN>" \
+  -F 'file=@test1.png'
+```
+
+
+

docs/deployment.md

@@ -103,3 +103,5 @@ CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
 
 Happy deploying!  
 **P.S.** Try not to break stuff. 😅
+
+

docs/functions.md

@@ -49,5 +49,15 @@
 
 - **`analyze_sentence_file()`**  
   Like `handle_file_sentence()`—analyzes sentences in uploaded files.
-
+---
 ## for image_classifier
+
+
+
+- **`Classify_Image_router()`** – Handles image classification requests by routing and coordinating preprocessing and inference.
+- **`classify_image()`** – Performs AI vs human image classification using the loaded model.
+- **`load_model()`** – Loads the pretrained model from Hugging Face at server startup.
+- **`preprocess_image()`** – Applies all required preprocessing steps to the input image.
+
+
+