diff --git a/machine_learning/.gitignore b/machine_learning/.gitignore
index ac9358e79..530bf8383 100644
--- a/machine_learning/.gitignore
+++ b/machine_learning/.gitignore
@@ -1,2 +1,3 @@
-app/__pycache__
-/devenv
\ No newline at end of file
+__pycache__/
+devenv/
+app/upload
\ No newline at end of file
diff --git a/machine_learning/Pipfile b/machine_learning/Pipfile
deleted file mode 100644
index 1d3bdf986..000000000
--- a/machine_learning/Pipfile
+++ /dev/null
@@ -1,17 +0,0 @@
-[[source]]
-url = "https://pypi.python.org/simple"
-verify_ssl = true
-name = "pypi"
-
-[packages]
-fastapi = "<0.69.0,>=0.68.0"
-pydantic = "<2.0.0,>=1.8.0"
-uvicorn = "<0.16.0,>=0.15.0"
-tensorflow = "~=2.8.0"
-numpy = "==1.22.2"
-pillow = "==9.0.1"
-
-[dev-packages]
-
-[requires]
-python_version = "3.8"
diff --git a/machine_learning/Pipfile.lock b/machine_learning/Pipfile.lock
deleted file mode 100644
index 4000cf17a..000000000
--- a/machine_learning/Pipfile.lock
+++ /dev/null
@@ -1,629 +0,0 @@
-{
-    "_meta": {
-        "hash": {
-            "sha256": "3acf9bcf1b74370cbdac742fee64295572085d1c0d3e4ba38b0fc3ae2c7d846a"
-        },
-        "pipfile-spec": 6,
-        "requires": {
-            "python_version": "3.8"
-        },
-        "sources": [
-            {
-                "name": "pypi",
-                "url": "https://pypi.python.org/simple",
-                "verify_ssl": true
-            }
-        ]
-    },
-    "default": {
-        "absl-py": {
-            "hashes": [
-                "sha256:84e6dcdc69c947d0c13e5457d056bd43cade4c2393dce00d684aedea77ddc2a3",
-                "sha256:ac511215c01ee9ae47b19716599e8ccfa746f2e18de72bdf641b79b22afa27ea"
-            ],
-            "version": "==1.0.0"
-        },
-        "asgiref": {
-            "hashes": [
-                "sha256:2f8abc20f7248433085eda803936d98992f1343ddb022065779f37c5da0181d0",
-                "sha256:88d59c13d634dcffe0510be048210188edd79aeccb6a6c9028cdad6f31d730a9"
-            ],
-            "version": "==3.5.0"
-        },
-        "astunparse": {
-            "hashes": [
-                "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872",
-                "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"
-            ],
-            "version": "==1.6.3"
-        },
-        "cachetools": {
-            "hashes": [
-                "sha256:486471dfa8799eb7ec503a8059e263db000cdda20075ce5e48903087f79d5fd6",
-                "sha256:8fecd4203a38af17928be7b90689d8083603073622229ca7077b72d8e5a976e4"
-            ],
-            "version": "==5.0.0"
-        },
-        "certifi": {
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-                "sha256:78884e7c1d4b00ce3cea67b44566851c4343c120abd683433ce934a68ea58872",
-                "sha256:d62a0163eb4c2344ac042ab2bdf75399a71a2d8c7d47eac2e2ee91b9d6339569"
-            ],
-            "version": "==2021.10.8"
-        },
-        "charset-normalizer": {
-            "hashes": [
-                "sha256:2857e29ff0d34db842cd7ca3230549d1a697f96ee6d3fb071cfa6c7393832597",
-                "sha256:6881edbebdb17b39b4eaaa821b438bf6eddffb4468cf344f09f89def34a8b1df"
-            ],
-            "markers": "python_version >= '3'",
-            "version": "==2.0.12"
-        },
-        "click": {
-            "hashes": [
-                "sha256:353f466495adaeb40b6b5f592f9f91cb22372351c84caeb068132442a4518ef3",
-                "sha256:410e932b050f5eed773c4cda94de75971c89cdb3155a72a0831139a79e5ecb5b"
-            ],
-            "version": "==8.0.3"
-        },
-        "fastapi": {
-            "hashes": [
-                "sha256:36bcdd3dbea87c586061005e4a40b9bd0145afd766655b4e0ec1d8870b32555c",
-                "sha256:38526fc46bda73f7ec92033952677323c16061e70a91d15c95f18b11895da494"
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-            "index": "pypi",
-            "version": "==0.68.2"
-        },
-        "flatbuffers": {
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-                "sha256:3751954f0604580d3219ae49a85fafec9d85eec599c0b96226e1bc0b48e57474"
-            ],
-            "version": "==2.0"
-        },
-        "gast": {
-            "hashes": [
-                "sha256:211aac1e58c167b25d3504998f2db694454a24bb1fb1225bce99420166f21d6a",
-                "sha256:cfbea25820e653af9c7d1807f659ce0a0a9c64f2439421a7bba4f0983f532dea"
-            ],
-            "version": "==0.5.3"
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-        "google-auth": {
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-                "sha256:218ca03d7744ca0c8b6697b6083334be7df49b7bf76a69d555962fd1a7657b5f",
-                "sha256:ad160fc1ea8f19e331a16a14a79f3d643d813a69534ba9611d2c80dc10439dad"
-            ],
-            "version": "==2.6.0"
-        },
-        "google-auth-oauthlib": {
-            "hashes": [
-                "sha256:3f2a6e802eebbb6fb736a370fbf3b055edcb6b52878bf2f26330b5e041316c73",
-                "sha256:a90a072f6993f2c327067bf65270046384cda5a8ecb20b94ea9a687f1f233a7a"
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-            "version": "==0.4.6"
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-        "google-pasta": {
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-            "version": "==2.8.0.dev2021122109"
-        },
-        "typing-extensions": {
-            "hashes": [
-                "sha256:1a9462dcc3347a79b1f1c0271fbe79e844580bb598bafa1ed208b94da3cdcd42",
-                "sha256:21c85e0fe4b9a155d0799430b0ad741cdce7e359660ccbd8b530613e8df88ce2"
-            ],
-            "version": "==4.1.1"
-        },
-        "urllib3": {
-            "hashes": [
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-                "sha256:0e7c33d9a63e7ddfcb86780aac87befc2fbddf46c58dbb487e0855f7ceec283c"
-            ],
-            "version": "==1.26.8"
-        },
-        "uvicorn": {
-            "hashes": [
-                "sha256:17f898c64c71a2640514d4089da2689e5db1ce5d4086c2d53699bf99513421c1",
-                "sha256:d9a3c0dd1ca86728d3e235182683b4cf94cd53a867c288eaeca80ee781b2caff"
-            ],
-            "index": "pypi",
-            "version": "==0.15.0"
-        },
-        "werkzeug": {
-            "hashes": [
-                "sha256:1421ebfc7648a39a5c58c601b154165d05cf47a3cd0ccb70857cbdacf6c8f2b8",
-                "sha256:b863f8ff057c522164b6067c9e28b041161b4be5ba4d0daceeaa50a163822d3c"
-            ],
-            "version": "==2.0.3"
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-        "wheel": {
-            "hashes": [
-                "sha256:4bdcd7d840138086126cd09254dc6195fb4fc6f01c050a1d7236f2630db1d22a",
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-            "version": "==0.37.1"
-        },
-        "wrapt": {
-            "hashes": [
-                "sha256:086218a72ec7d986a3eddb7707c8c4526d677c7b35e355875a0fe2918b059179",
-                "sha256:0877fe981fd76b183711d767500e6b3111378ed2043c145e21816ee589d91096",
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-                "sha256:51799ca950cfee9396a87f4a1240622ac38973b6df5ef7a41e7f0b98797099ce",
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-                "sha256:5f223101f21cfd41deec8ce3889dc59f88a59b409db028c469c9b20cfeefbe36",
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-                "sha256:6a03d9917aee887690aa3f1747ce634e610f6db6f6b332b35c2dd89412912bca",
-                "sha256:705e2af1f7be4707e49ced9153f8d72131090e52be9278b5dbb1498c749a1e32",
-                "sha256:766b32c762e07e26f50d8a3468e3b4228b3736c805018e4b0ec8cc01ecd88125",
-                "sha256:77416e6b17926d953b5c666a3cb718d5945df63ecf922af0ee576206d7033b5e",
-                "sha256:778fd096ee96890c10ce96187c76b3e99b2da44e08c9e24d5652f356873f6709",
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-                "sha256:ae9de71eb60940e58207f8e71fe113c639da42adb02fb2bcbcaccc1ccecd092b",
-                "sha256:b73d4b78807bd299b38e4598b8e7bd34ed55d480160d2e7fdaabd9931afa65f9",
-                "sha256:d4a5f6146cfa5c7ba0134249665acd322a70d1ea61732723c7d3e8cc0fa80755",
-                "sha256:dd91006848eb55af2159375134d724032a2d1d13bcc6f81cd8d3ed9f2b8e846c",
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-                "sha256:e94b7d9deaa4cc7bac9198a58a7240aaf87fe56c6277ee25fa5b3aa1edebd229",
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-                "sha256:ec9465dd69d5657b5d2fa6133b3e1e989ae27d29471a672416fd729b429eb554",
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-            "version": "==1.13.3"
-        },
-        "zipp": {
-            "hashes": [
-                "sha256:9f50f446828eb9d45b267433fd3e9da8d801f614129124863f9c51ebceafb87d",
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-}
diff --git a/machine_learning/app/__init__.py b/machine_learning/app/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/machine_learning/app/cars.jpg b/machine_learning/app/cars.jpg
new file mode 100644
index 000000000..8628adafd
Binary files /dev/null and b/machine_learning/app/cars.jpg differ
diff --git a/machine_learning/app/image_classifier/__init__.py b/machine_learning/app/image_classifier/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/machine_learning/app/image_classifier/image_classifier.py b/machine_learning/app/image_classifier/image_classifier.py
new file mode 100644
index 000000000..c3c130124
--- /dev/null
+++ b/machine_learning/app/image_classifier/image_classifier.py
@@ -0,0 +1,32 @@
+from tensorflow.keras.applications import InceptionV3
+from tensorflow.keras.applications.inception_v3 import preprocess_input, decode_predictions
+from tensorflow.keras.preprocessing import image
+import numpy as np
+
+IMG_SIZE = 299
+PREDICTION_MODEL = InceptionV3(weights='imagenet')
+
+
+def classify_image(image_path: str):
+    img_path = f'./app/{image_path}'
+    img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE))
+    x = image.img_to_array(img)
+    x = np.expand_dims(x, axis=0)
+    x = preprocess_input(x)
+
+    preds = PREDICTION_MODEL.predict(x)
+    result = decode_predictions(preds, top=3)[0]
+    payload = []
+    for _, value, _ in result:
+        payload.append(value)
+
+    return payload
+
+
+def warm_up():
+    img_path = f'./app/test.png'
+    img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE))
+    x = image.img_to_array(img)
+    x = np.expand_dims(x, axis=0)
+    x = preprocess_input(x)
+    PREDICTION_MODEL.predict(x)
diff --git a/machine_learning/app/main.py b/machine_learning/app/main.py
index 75576f75a..966dc8c53 100644
--- a/machine_learning/app/main.py
+++ b/machine_learning/app/main.py
@@ -1,27 +1,17 @@
-from typing import Optional
 from pydantic import BaseModel
-import numpy as np
 from fastapi import FastAPI
-import tensorflow as tf
-from tensorflow.keras.applications import InceptionV3
-from tensorflow.keras.applications.inception_v3 import preprocess_input, decode_predictions
-from tensorflow.keras.preprocessing import image
 
-IMG_SIZE = 299
-PREDICTION_MODEL = InceptionV3(weights='imagenet')
+from .object_detection import object_detection
+from .image_classifier import image_classifier
+
+from tf2_yolov4.anchors import YOLOV4_ANCHORS
+from tf2_yolov4.model import YOLOv4
 
 
-def warm_up():
-    img_path = f'./app/test.png'
-    img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE))
-    x = image.img_to_array(img)
-    x = np.expand_dims(x, axis=0)
-    x = preprocess_input(x)
-    PREDICTION_MODEL.predict(x)
-
+HEIGHT, WIDTH = (640, 960)
 
 # Warm up model
-warm_up()
+image_classifier.warm_up()
 app = FastAPI()
 
 
@@ -31,21 +21,26 @@ class TagImagePayload(BaseModel):
 
 @app.post("/tagImage")
 async def post_root(payload: TagImagePayload):
-    imagePath = payload.thumbnail_path
+    image_path = payload.thumbnail_path
 
-    if imagePath[0] == '.':
-        imagePath = imagePath[2:]
+    if image_path[0] == '.':
+        image_path = image_path[2:]
 
-    img_path = f'./app/{imagePath}'
-    img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE))
-    x = image.img_to_array(img)
-    x = np.expand_dims(x, axis=0)
-    x = preprocess_input(x)
+    return image_classifier.classify_image(image_path=image_path)
 
-    preds = PREDICTION_MODEL.predict(x)
-    result = decode_predictions(preds, top=3)[0]
-    payload = []
-    for _, value, _ in result:
-        payload.append(value)
 
-    return payload
+@app.get("/")
+async def test():
+
+    object_detection.run_detection()
+    # image = tf.io.read_file("./app/cars.jpg")
+    # image = tf.image.decode_image(image)
+    # image = tf.image.resize(image, (HEIGHT, WIDTH))
+    # images = tf.expand_dims(image, axis=0) / 255.0
+
+    # model = YOLOv4(
+    #     (HEIGHT, WIDTH, 3),
+    #     80,
+    #     YOLOV4_ANCHORS,
+    #     "darknet",
+    # )
diff --git a/machine_learning/app/object_detection/__init__.py b/machine_learning/app/object_detection/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/machine_learning/app/object_detection/object_detection.py b/machine_learning/app/object_detection/object_detection.py
new file mode 100644
index 000000000..2f44f7b74
--- /dev/null
+++ b/machine_learning/app/object_detection/object_detection.py
@@ -0,0 +1,4 @@
+
+
+def run_detection():
+    print("run detection")
diff --git a/machine_learning/requirements.txt b/machine_learning/requirements.txt
index d362ed6bf..dc6cea146 100644
--- a/machine_learning/requirements.txt
+++ b/machine_learning/requirements.txt
@@ -3,4 +3,5 @@ pydantic>=1.8.0,<2.0.0
 uvicorn>=0.15.0,<0.16.0
 tensorflow==2.8.0
 numpy==1.22.2
-pillow==9.0.1
\ No newline at end of file
+pillow==9.0.1
+tf2_yolov4==0.1.0
\ No newline at end of file