fix:fix: update

desc: update project

Project/Backend/Server_Node/controllers/marksCalculator.controller.js

+import { exec } from "child_process";
+
+export const marksCalculator = async (req, res) => {
+    const imageData = req.file.buffer.toString('base64');
+    const targetClass = req.body.class;
+
+    try {
+
+        // Run Python script to perform prediction
+        const pythonProcess = exec('python prediction_config/C1T1/predict.py', (error, stdout, stderr) => {
+            if (error) {
+                console.error(error);
+                return res.status(500).json({ error: 'An error occurred' });
+            }
+            const [predictedClass, confidence] = stdout.trim().split(',');
+
+            res.status(200).json({
+                code: "01",
+                result: {
+                    predictedClass,
+                    confidence: parseFloat(confidence).toFixed(2),
+                }
+            });
+        });
+
+        pythonProcess.stdin.write(`${imageData}\n${targetClass}`);
+        pythonProcess.stdin.end();
+
+    } catch (error) {
+        res.status(500).json({ code: "00", message: "Something went wrong" })
+    }
+}
\ No newline at end of file

Project/Backend/Server_Node/package-lock.json

@@ -19,6 +19,7 @@
         "multer": "^1.4.5-lts.1",
         "nodemailer": "^6.9.1",
         "nodemon": "^2.0.22",
+        "torch": "^0.2.7",
         "uuid": "^9.0.0"
       }
     },
@@ -58,6 +59,22 @@
         "node": ">= 0.6"
       }
     },
+    "node_modules/ansi-regex": {
+      "version": "2.1.1",
+      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-2.1.1.tgz",
+      "integrity": "sha512-TIGnTpdo+E3+pCyAluZvtED5p5wCqLdezCyhPZzKPcxvFplEt4i+W7OONCKgeZFT3+y5NZZfOOS/Bdcanm1MYA==",
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
+    "node_modules/ansi-styles": {
+      "version": "2.2.1",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-2.2.1.tgz",
+      "integrity": "sha512-kmCevFghRiWM7HB5zTPULl4r9bVFSWjz62MhqizDGUrq2NWuNMQyuv4tHHoKJHs69M/MF64lEcHdYIocrdWQYA==",
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
     "node_modules/anymatch": {
       "version": "3.1.3",
       "resolved": "https://registry.npmjs.org/anymatch/-/anymatch-3.1.3.tgz",
@@ -190,6 +207,29 @@
         "url": "https://github.com/sponsors/ljharb"
       }
     },
+    "node_modules/chalk": {
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-1.1.3.tgz",
+      "integrity": "sha512-U3lRVLMSlsCfjqYPbLyVv11M9CPW4I728d6TCKMAOJueEeB9/8o+eSsMnxPJD+Q+K909sdESg7C+tIkoH6on1A==",
+      "dependencies": {
+        "ansi-styles": "^2.2.1",
+        "escape-string-regexp": "^1.0.2",
+        "has-ansi": "^2.0.0",
+        "strip-ansi": "^3.0.0",
+        "supports-color": "^2.0.0"
+      },
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
+    "node_modules/chalk/node_modules/supports-color": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-2.0.0.tgz",
+      "integrity": "sha512-KKNVtd6pCYgPIKU4cp2733HWYCpplQhddZLBUryaAHou723x+FRzQ5Df824Fj+IyyuiQTRoub4SnIFfIcrp70g==",
+      "engines": {
+        "node": ">=0.8.0"
+      }
+    },
     "node_modules/chokidar": {
       "version": "3.5.3",
       "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-3.5.3.tgz",
@@ -343,6 +383,14 @@
       "resolved": "https://registry.npmjs.org/escape-html/-/escape-html-1.0.3.tgz",
       "integrity": "sha512-NiSupZ4OeuGwr68lGIeym/ksIZMJodUGOSCZ/FSnTxcrekbvqrgdUxlJOMpijaKZVjAJrWrGs/6Jy8OMuyj9ow=="
     },
+    "node_modules/escape-string-regexp": {
+      "version": "1.0.5",
+      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz",
+      "integrity": "sha512-vbRorB5FUQWvla16U8R/qgaFIya2qGzwDrNmCZuYKrbdSUMG6I1ZCGQRefkRVhuOkIGVne7BQ35DSfo1qvJqFg==",
+      "engines": {
+        "node": ">=0.8.0"
+      }
+    },
     "node_modules/etag": {
       "version": "1.8.1",
       "resolved": "https://registry.npmjs.org/etag/-/etag-1.8.1.tgz",
@@ -526,6 +574,17 @@
         "node": ">= 0.4.0"
       }
     },
+    "node_modules/has-ansi": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/has-ansi/-/has-ansi-2.0.0.tgz",
+      "integrity": "sha512-C8vBJ8DwUCx19vhm7urhTuUsr4/IyP6l4VzNQDv+ryHQObW3TTTp9yB68WpYgRe2bbaGuZ/se74IqFeVnMnLZg==",
+      "dependencies": {
+        "ansi-regex": "^2.0.0"
+      },
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
     "node_modules/has-flag": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz",
@@ -1343,6 +1402,17 @@
       "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.1.2.tgz",
       "integrity": "sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g=="
     },
+    "node_modules/strip-ansi": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-3.0.1.tgz",
+      "integrity": "sha512-VhumSSbBqDTP8p2ZLKj40UjBCV4+v8bUSEpUb4KjRgWk9pbqGF4REFj6KEagidb2f/M6AzC0EmFyDNGaw9OCzg==",
+      "dependencies": {
+        "ansi-regex": "^2.0.0"
+      },
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
     "node_modules/supports-color": {
       "version": "5.5.0",
       "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
@@ -1373,6 +1443,18 @@
         "node": ">=0.6"
       }
     },
+    "node_modules/torch": {
+      "version": "0.2.7",
+      "resolved": "https://registry.npmjs.org/torch/-/torch-0.2.7.tgz",
+      "integrity": "sha512-yTv7qWKGg00hMDv0pyBgRjubbf4eygzzrjKPKRC9rbPCKBF0jd+cxnzIoN+pCHgGf2EQbd0jGyy1X7h5BIqjEA==",
+      "deprecated": "Package no longer supported. Contact Support at https://www.npmjs.com/support for more info.",
+      "dependencies": {
+        "chalk": "^1.1.3"
+      },
+      "engines": {
+        "node": ">= 0.8.4"
+      }
+    },
     "node_modules/touch": {
       "version": "3.1.0",
       "resolved": "https://registry.npmjs.org/touch/-/touch-3.1.0.tgz",
@@ -1522,6 +1604,16 @@
         "negotiator": "0.6.3"
       }
     },
+    "ansi-regex": {
+      "version": "2.1.1",
+      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-2.1.1.tgz",
+      "integrity": "sha512-TIGnTpdo+E3+pCyAluZvtED5p5wCqLdezCyhPZzKPcxvFplEt4i+W7OONCKgeZFT3+y5NZZfOOS/Bdcanm1MYA=="
+    },
+    "ansi-styles": {
+      "version": "2.2.1",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-2.2.1.tgz",
+      "integrity": "sha512-kmCevFghRiWM7HB5zTPULl4r9bVFSWjz62MhqizDGUrq2NWuNMQyuv4tHHoKJHs69M/MF64lEcHdYIocrdWQYA=="
+    },
     "anymatch": {
       "version": "3.1.3",
       "resolved": "https://registry.npmjs.org/anymatch/-/anymatch-3.1.3.tgz",
@@ -1629,6 +1721,25 @@
         "get-intrinsic": "^1.0.2"
       }
     },
+    "chalk": {
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-1.1.3.tgz",
+      "integrity": "sha512-U3lRVLMSlsCfjqYPbLyVv11M9CPW4I728d6TCKMAOJueEeB9/8o+eSsMnxPJD+Q+K909sdESg7C+tIkoH6on1A==",
+      "requires": {
+        "ansi-styles": "^2.2.1",
+        "escape-string-regexp": "^1.0.2",
+        "has-ansi": "^2.0.0",
+        "strip-ansi": "^3.0.0",
+        "supports-color": "^2.0.0"
+      },
+      "dependencies": {
+        "supports-color": {
+          "version": "2.0.0",
+          "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-2.0.0.tgz",
+          "integrity": "sha512-KKNVtd6pCYgPIKU4cp2733HWYCpplQhddZLBUryaAHou723x+FRzQ5Df824Fj+IyyuiQTRoub4SnIFfIcrp70g=="
+        }
+      }
+    },
     "chokidar": {
       "version": "3.5.3",
       "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-3.5.3.tgz",
@@ -1743,6 +1854,11 @@
       "resolved": "https://registry.npmjs.org/escape-html/-/escape-html-1.0.3.tgz",
       "integrity": "sha512-NiSupZ4OeuGwr68lGIeym/ksIZMJodUGOSCZ/FSnTxcrekbvqrgdUxlJOMpijaKZVjAJrWrGs/6Jy8OMuyj9ow=="
     },
+    "escape-string-regexp": {
+      "version": "1.0.5",
+      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz",
+      "integrity": "sha512-vbRorB5FUQWvla16U8R/qgaFIya2qGzwDrNmCZuYKrbdSUMG6I1ZCGQRefkRVhuOkIGVne7BQ35DSfo1qvJqFg=="
+    },
     "etag": {
       "version": "1.8.1",
       "resolved": "https://registry.npmjs.org/etag/-/etag-1.8.1.tgz",
@@ -1887,6 +2003,14 @@
         "function-bind": "^1.1.1"
       }
     },
+    "has-ansi": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/has-ansi/-/has-ansi-2.0.0.tgz",
+      "integrity": "sha512-C8vBJ8DwUCx19vhm7urhTuUsr4/IyP6l4VzNQDv+ryHQObW3TTTp9yB68WpYgRe2bbaGuZ/se74IqFeVnMnLZg==",
+      "requires": {
+        "ansi-regex": "^2.0.0"
+      }
+    },
     "has-flag": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz",
@@ -2489,6 +2613,14 @@
         }
       }
     },
+    "strip-ansi": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-3.0.1.tgz",
+      "integrity": "sha512-VhumSSbBqDTP8p2ZLKj40UjBCV4+v8bUSEpUb4KjRgWk9pbqGF4REFj6KEagidb2f/M6AzC0EmFyDNGaw9OCzg==",
+      "requires": {
+        "ansi-regex": "^2.0.0"
+      }
+    },
     "supports-color": {
       "version": "5.5.0",
       "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
@@ -2510,6 +2642,14 @@
       "resolved": "https://registry.npmjs.org/toidentifier/-/toidentifier-1.0.1.tgz",
       "integrity": "sha512-o5sSPKEkg/DIQNmH43V0/uerLrpzVedkUh8tGNvaeXpfpuwjKenlSox/2O/BTlZUtEe+JG7s5YhEz608PlAHRA=="
     },
+    "torch": {
+      "version": "0.2.7",
+      "resolved": "https://registry.npmjs.org/torch/-/torch-0.2.7.tgz",
+      "integrity": "sha512-yTv7qWKGg00hMDv0pyBgRjubbf4eygzzrjKPKRC9rbPCKBF0jd+cxnzIoN+pCHgGf2EQbd0jGyy1X7h5BIqjEA==",
+      "requires": {
+        "chalk": "^1.1.3"
+      }
+    },
     "touch": {
       "version": "3.1.0",
       "resolved": "https://registry.npmjs.org/touch/-/touch-3.1.0.tgz",

Project/Backend/Server_Node/package.json

@@ -21,6 +21,7 @@
     "multer": "^1.4.5-lts.1",
     "nodemailer": "^6.9.1",
     "nodemon": "^2.0.22",
+    "torch": "^0.2.7",
     "uuid": "^9.0.0"
   }
 }

Project/Backend/Server_Node/prediction_config/C1T1/predict.py

+import sys
+import io
+import base64
+import torch
+import torchvision.transforms as transforms
+from PIL import Image
+
+import torch.nn as nn
+import torch.nn.functional as F
+import numpy as np
+
+
+class theCNN(nn.Module):
+    def __init__(self):
+        super().__init__()
+
+        self.conv01 = nn.Conv2d(
+            in_channels=1,
+            out_channels=10,
+            kernel_size=5,
+            stride=1,
+            padding=1
+        )
+
+        self.dropout1 = nn.Dropout(0.2)  # Add dropout layer
+
+        self.conv02 = nn.Conv2d(
+            in_channels=10,
+            out_channels=20,
+            kernel_size=5,
+            stride=1,
+            padding=1
+        )
+
+        self.dropout2 = nn.Dropout(0.2)  # Add dropout layer
+
+        expectedSize = np.floor((73+2*0-1)/1) + 1
+        expectedSize = 20*int(expectedSize**2)
+
+        self.fc01 = nn.Linear(expectedSize, 50)
+        self.output = nn.Linear(50, 16)
+
+    def forward(self, x):
+
+        # convo -> maxpool -> relu
+        x = F.relu(F.max_pool2d(self.conv01(x), 2))
+
+        # convo -> maxpool -> relu
+        x = F.relu(F.max_pool2d(self.conv02(x), 2))
+
+        nUnits = x.shape.numel()/x.shape[0]
+        x = x.view(-1, int(nUnits))
+
+        x = F.relu(self.fc01(x))
+
+        return torch.softmax(self.output(x), axis=1)
+
+
+# Load the trained model
+model = theCNN()  # Instantiate your model class
+model.load_state_dict(torch.load(
+    'D:/SLIIT_Y4_Research_Module/Research/Project/2023-029/Project/Backend/Server_Node/prediction_config/C1T1/trained_model_modified.pth', map_location=torch.device('cpu')))
+model.eval()
+
+# Read image data and target class from standard input
+input_data = sys.stdin.readlines()
+image_data = input_data[0].strip().encode()  # Convert to bytes
+target_class = input_data[1].strip()
+
+# Preprocess the image
+# image_data = base64.b64decode(sys.argv[1])
+# image = Image.open(io.BytesIO(image_data))
+image = Image.open(io.BytesIO(base64.b64decode(image_data)))
+transform = transforms.Compose([
+    transforms.Resize((300, 300)),
+    transforms.Grayscale(num_output_channels=1),
+    transforms.ToTensor(),
+    transforms.Normalize(mean=[0.5], std=[0.5]),
+])
+image_tensor = transform(image).unsqueeze(0)
+
+# Predict the class
+with torch.no_grad():
+    outputs = model(image_tensor)
+    predicted_class = torch.argmax(outputs[0]).item()
+    confidence = outputs[0][predicted_class].item()
+
+# Calculate similarity or confidence percentage
+# target_class = sys.argv[2].lower()  # Class name passed from the API
+similarity = 100 * confidence
+
+print(f"{predicted_class},{similarity:.2f}")

Project/Backend/Server_Node/routes/marksCalculator.routes.js

+import express from "express";
+import multer from "multer";
+import { marksCalculator } from "../controllers/marksCalculator.controller.js";
+
+// Set up storage for uploaded images
+const storage = multer.memoryStorage();
+const upload = multer({ storage: storage });
+
+const router = express.Router();
+
+router.post('/curriculum/tutorial', upload.single('image'), marksCalculator)
+
+export default router;
\ No newline at end of file

Project/Backend/Server_Node/server.js

@@ -3,11 +3,12 @@ import cors from "cors";
 import dotenv from "dotenv";
 import express from "express";
 import mongoose from "mongoose";
-
+ 
 //import routes
 import curriculumRoutes from "./routes/curriculum.routes.js";
 import feedbackRoutes from "./routes/feedback.routes.js";
 import leaderboardRoutes from "./routes/leaderboard.routes.js";
+import marksCalculatorRoutes from "./routes/marksCalculator.routes.js";
 import translateRoutes from "./routes/translate.routes.js";
 import tutorialRoutes from "./routes/tutorial.routes.js";
 import userRoutes from "./routes/user.routes.js";
@@ -33,6 +34,7 @@ app.use("/rest_node/tutorial", tutorialRoutes);
 app.use("/rest_node/user-progress", userProgressRoutes);
 app.use("/rest_node/feedback", feedbackRoutes);
 app.use("/rest_node/leaderboard", leaderboardRoutes);
+app.use("/rest_node/marks-calculator", marksCalculatorRoutes);
 
 const CONNECTION_URL = `mongodb+srv://${process.env.DB_USERNAME}:${process.env.DB_PASSWORD}@researchmanagement-appl.vzhn4.mongodb.net/?retryWrites=true&w=majority`;
 const PORT = process.env.PORT || 5000;