Index: backend/subjects/consts.py
===================================================================
--- backend/subjects/consts.py	(revision 1a7fd2e9019cfafaba0e730e5f2d7b8fc3f1cd24)
+++ backend/subjects/consts.py	(revision 9e0e9993769495c5bbe65211bcd787714920fa88)
@@ -1,3852 +1,14 @@
-SUBJECTS_VECTOR = {
-	"Архитектура и организација на компјутери": {
-		"professors": [
-			0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,
-			1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1,
-			0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,
-			0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0
-		],
-		"tags": [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0],
-		"evaluation": [0, 1, 0, 1],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 0,
-		"activated": 1,
-		"season": 0,
-		"year": 1,
-		"participants": 1
-	},
-	"Бизнис и менаџмент": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0
-		],
-		"tags": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0],
-		"evaluation": [0, 0, 0, 1],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 1,
-		"activated": 1,
-		"season": 1,
-		"year": 1,
-		"participants": 1
-	},
-	"Бизнис статистика": {
-		"professors": [
-			0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,
-			1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0
-		],
-		"tags": [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
-		"evaluation": [0, 1, 0, 1],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 0,
-		"activated": 1,
-		"season": 0,
-		"year": 1,
-		"participants": 1
-	},
-	"Вовед во компјутерските науки": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1
-		],
-		"tags": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
-		"evaluation": [0, 1, 0, 1],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 0,
-		"activated": 1,
-		"season": 1,
-		"year": 1,
-		"participants": 1
-	},
-	"Дизајн на дигитални кола": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"tags": [0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
-		"evaluation": [0, 0, 0, 0],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 0,
-		"activated": 1,
-		"season": 1,
-		"year": 1,
-		"participants": 0
-	},
-	"Дискретна математика": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"tags": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
-		"evaluation": [0, 1, 0, 1],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 0,
-		"activated": 1,
-		"season": 0,
-		"year": 1,
-		"participants": 1
-	},
-	"Дискретни структури 1": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0
-		],
-		"tags": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
-		"evaluation": [0, 1, 0, 1],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 0,
-		"activated": 1,
-		"season": 1,
-		"year": 1,
-		"participants": 0.5
-	},
-	"Дискретни структури 2": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0
-		],
-		"tags": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
-		"evaluation": [0, 1, 0, 1],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 0,
-		"activated": 1,
-		"season": 0,
-		"year": 1,
-		"participants": 0.5
-	},
-	"Е-учење": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"tags": [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0],
-		"evaluation": [0, 0, 1, 1],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 1,
-		"activated": 1,
-		"season": 0,
-		"year": 1,
-		"participants": 0
-	},
-	"Математика 1": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"tags": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
-		"evaluation": [0, 1, 0, 1],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 0,
-		"activated": 1,
-		"season": 1,
-		"year": 1,
-		"participants": 1
-	},
-	"Калкулус 1": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0
-		],
-		"tags": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
-		"evaluation": [0, 1, 0, 1],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 0,
-		"activated": 1,
-		"season": 1,
-		"year": 1,
-		"participants": 0.5
-	},
-	"Калкулус 2": {
-		"professors": [
-			0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0
-		],
-		"tags": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
-		"evaluation": [0, 1, 0, 1],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 0,
-		"activated": 1,
-		"season": 0,
-		"year": 1,
-		"participants": 0.5
-	},
-	"Компјутерски архитектури": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,
-			0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"tags": [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
-		"evaluation": [0, 1, 0, 1],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 0,
-		"activated": 1,
-		"season": 0,
-		"year": 1,
-		"participants": 0.5
-	},
-	"Компјутерски компоненти": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"tags": [0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
-		"evaluation": [0, 0, 0, 1],
-		"technologies": [
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-			0, 0, 0
-		],
-		"isEasy": 1,
-		"activated": 1,
-		"season": 0,
-		"year": 1,
-		"participants": 0
-	},
-	"Креативни вештини за решавање проблеми": {
-		"professors": [
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-			0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0
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-		"tags": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0],
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-		"isEasy": 1,
-		"activated": 1,
-		"season": 0,
-		"year": 1,
-		"participants": 0
-	},
-	"Маркетинг": {
-		"professors": [
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-		"assistants": [
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-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"tags": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0],
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-		"isEasy": 1,
-		"activated": 1,
-		"season": 0,
-		"year": 2,
-		"participants": 1
-	},
-	"Објектно ориентирана анализа и дизајн": {
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-			0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0
-		],
-		"assistants": [
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-			0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0
-		],
-		"tags": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0],
-		"evaluation": [0, 1, 0, 1],
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-		"participants": 1
-	},
-	"Тестирање на софтвер": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0
-		],
-		"tags": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0],
-		"evaluation": [0, 0, 0, 0],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 0,
-		"activated": 1,
-		"season": 1,
-		"year": 4,
-		"participants": 0
-	},
-	"Сензорски системи": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"tags": [0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
-		"evaluation": [0, 0, 0, 0],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 0,
-		"activated": 0,
-		"season": 1,
-		"year": 4,
-		"participants": 0
-	},
-	"Адаптивни и интерактивни веб информациски системи": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"tags": [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1],
-		"evaluation": [0, 0, 0, 0],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 0,
-		"activated": 0,
-		"season": 0,
-		"year": 4,
-		"participants": 0
-	},
-	"Спорт и здравје": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"tags": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
-		"evaluation": [0, 0, 0, 0],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 1,
-		"activated": 0,
-		"season": 1,
-		"year": 1,
-		"participants": 0
-	},
-	"Деловна пракса": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"tags": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
-		"evaluation": [0, 0, 1, 0],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 1, 0
-		],
-		"isEasy": 0,
-		"activated": 1,
-		"season": 0,
-		"year": 2,
-		"participants": 0
-	}
+BIAS_SUBJECT_HAS_ONE = 0.75
+BIAS_STUDENT_HAS_ONE = 0.9
+
+WEIGHTS = {
+    "professors": 0.065,
+    "technologies": 0.065,
+    "tags": 0.4,
+    "evaluation": 0.15, 
+    "effort": 0.3,
+    "activated": 0.01,
+    "participant_score": 0.01,
 }
+
+NUMBER_OF_SUGGESTIONS = 6
Index: backend/subjects/management/commands/tag_graph.py
===================================================================
--- backend/subjects/management/commands/tag_graph.py	(revision 9e0e9993769495c5bbe65211bcd787714920fa88)
+++ backend/subjects/management/commands/tag_graph.py	(revision 9e0e9993769495c5bbe65211bcd787714920fa88)
@@ -0,0 +1,119 @@
+import json
+from django.core.management.base import BaseCommand
+from pathlib import Path
+
+TAGS = [
+    "AI / ML",
+    "Cloud Engineering & DevOps",
+    "Computer Architecture",
+    "Computer Science",
+    "Cybersecurity",
+    "Data Science",
+    "Databases",
+    "Education",
+    "Embedded Systems",
+    "Game Development",
+    "Mathematics",
+    "Multimedia",
+    "Networking",
+    "Physics",
+    "Societal Skills",
+    "Software Engineering",
+    "Systems Infrastructure",
+    "UI/UX & Digital Media",
+    "Web Development"
+]
+
+EDGES = [
+    ("Mathematics", "Physics", 1),
+    ("Physics", "Mathematics", 1),
+    ("Web Development", "Databases", 2),
+    ("Databases", "Web Development", 2),
+    ("Databases", "AI / ML", 1.5),
+    ("AI / ML", "Databases", 1.5),
+    ("Data Science", "AI / ML", 3),
+    ("AI / ML", "Data Science", 3),
+    ("Cybersecurity", "Systems Infrastructure", 1),
+    ("Systems Infrastructure", "Cybersecurity", 1),
+    ("Computer Architecture", "Systems Infrastructure", 1.5),
+    ("Systems Infrastructure", "Computer Architecture", 1),
+    ("Game Development", "Embedded Systems", 1),
+    ("Embedded Systems", "Game Development", 1),
+    ("Cloud Engineering & DevOps", "Networking", 0.75),
+    ("Networking", "Cloud Engineering & DevOps", 1.5),
+    ("Computer Science", "Mathematics", 1),
+    ("Mathematics", "Computer Science", 2),
+    ("Computer Science", "Physics", 0.33),
+    ("Physics", "Computer Science", 0.5),
+    ("Computer Architecture", "Networking", 2),
+    ("Networking", "Computer Architecture", 1),
+    ("Computer Architecture", "Computer Science", 1),
+    ("Computer Science", "Computer Architecture", 0.5),
+    ("UI/UX & Digital Media", "Multimedia", 1),
+    ("Multimedia", "UI/UX & Digital Media", 1),
+    ("Societal Skills", "Education", 1),
+    ("Education", "Societal Skills", 1),
+    ("Web Development", "Cloud Engineering & DevOps", 1.5),
+    ("Cloud Engineering & DevOps", "Web Development", 1.5),
+    ("Game Development", "Mathematics", 2),
+    ("Mathematics", "Game Development", 2),
+    ("Game Development", "Physics", 2),
+    ("Physics", "Game Development", 2),
+    ("Web Development", "UI/UX & Digital Media", 2),
+    ("UI/UX & Digital Media", "Web Development", 2),
+    ("Cybersecurity", "Networking", 2),
+    ("Networking", "Cybersecurity", 2),
+    ("Cybersecurity", "Computer Architecture", 1),
+    ("Computer Architecture", "Cybersecurity", 1),
+    ("AI / ML", "Mathematics", 3),
+    ("Mathematics", "AI / ML", 3),
+    ("Data Science", "Mathematics", 3),
+    ("Mathematics", "Data Science", 3)
+]
+
+def add(tag_graph, tag1, tag2, weight):
+    tag_graph[tag1].append((tag2, weight))
+
+
+class Command(BaseCommand):
+    help = "Create a directed, weighted graph of dependencies between all tags present in the vocabulary."
+    
+    def handle(self, *args, **options):
+        base_dir = Path(__file__).resolve().parent.parent
+        output_file_path = base_dir / 'data' / 'tag_graph.json'
+        tag_graph = {}
+        for tag in TAGS:
+            tag_graph[tag] = []
+
+        for edge in EDGES:
+            add(tag_graph, edge[0], edge[1], edge[2])
+
+        tag_to_col_index = {}
+
+        for i, tag in enumerate(TAGS):
+            tag_to_col_index[tag] = i
+
+        final_tag_graph = {}
+
+        for key in tag_graph.keys():
+            key_index = tag_to_col_index[key]
+            
+            for i, val in enumerate(tag_graph[key]):
+                n, w = val
+                tag_graph[key][i] = (tag_to_col_index[n], w)
+            
+            final_tag_graph[key_index] = tag_graph[key]
+
+        with open(output_file_path, "w") as f:
+            json.dump(final_tag_graph, f)
+            self.stdout.write(self.style.SUCCESS(f"Finished scraping. Data successfully stored in {output_file_path}"))
+
+
+
+
+
+
+
+
+
+
Index: backend/subjects/management/data/subject_details.json
===================================================================
--- backend/subjects/management/data/subject_details.json	(revision 1a7fd2e9019cfafaba0e730e5f2d7b8fc3f1cd24)
+++ backend/subjects/management/data/subject_details.json	(revision 9e0e9993769495c5bbe65211bcd787714920fa88)
@@ -3055,5 +3055,5 @@
 		"professors": ["Моника Симјаноска", "Невена Ацковска"],
 		"assistants": [],
-		"tags": ["Data Science", "AI / ML", "Computer Science", "Databases"],
+		"tags": ["Data Science", "Computer Science"],
 		"technologies": [],
 		"evaluation": ["Theory", "Practical", "Project"],
Index: backend/subjects/management/data/subjects_vector.json
===================================================================
--- backend/subjects/management/data/subjects_vector.json	(revision 1a7fd2e9019cfafaba0e730e5f2d7b8fc3f1cd24)
+++ backend/subjects/management/data/subjects_vector.json	(revision 9e0e9993769495c5bbe65211bcd787714920fa88)
@@ -2518,5 +2518,5 @@
 			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
 		],
-		"tags": [1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+		"tags": [0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
 		"evaluation": [0, 1, 1, 1],
 		"technologies": [
@@ -2636,26 +2636,4 @@
 		"isEasy": 0,
 		"activated": 1,
-		"season": 0,
-		"year": 4,
-		"participants": 0
-	},
-	"Дипломска работа": {
-		"professors": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0
-		],
-		"assistants": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
-		],
-		"tags": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
-		"evaluation": [0, 0, 1, 0],
-		"technologies": [
-			0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-			0, 0, 0
-		],
-		"isEasy": 0,
-		"activated": 0,
 		"season": 0,
 		"year": 4,
Index: backend/subjects/management/data/tag_graph.json
===================================================================
--- backend/subjects/management/data/tag_graph.json	(revision 9e0e9993769495c5bbe65211bcd787714920fa88)
+++ backend/subjects/management/data/tag_graph.json	(revision 9e0e9993769495c5bbe65211bcd787714920fa88)
@@ -0,0 +1,75 @@
+{
+	"0": [
+		[6, 1.5],
+		[5, 3],
+		[10, 3]
+	],
+	"1": [
+		[12, 0.75],
+		[18, 1.5]
+	],
+	"2": [
+		[16, 1.5],
+		[12, 2],
+		[3, 1],
+		[4, 1]
+	],
+	"3": [
+		[10, 1],
+		[13, 0.33],
+		[2, 0.5]
+	],
+	"4": [
+		[16, 1],
+		[12, 2],
+		[2, 1]
+	],
+	"5": [
+		[0, 3],
+		[10, 3]
+	],
+	"6": [
+		[18, 2],
+		[0, 1.5]
+	],
+	"7": [[14, 1]],
+	"8": [[9, 1]],
+	"9": [
+		[8, 1],
+		[10, 2],
+		[13, 2]
+	],
+	"10": [
+		[13, 1],
+		[3, 2],
+		[9, 2],
+		[0, 3],
+		[5, 3]
+	],
+	"11": [[17, 1]],
+	"12": [
+		[1, 1.5],
+		[2, 1],
+		[4, 2]
+	],
+	"13": [
+		[10, 1],
+		[3, 0.5],
+		[9, 2]
+	],
+	"14": [[7, 1]],
+	"15": [],
+	"16": [
+		[4, 1],
+		[2, 1]
+	],
+	"17": [
+		[11, 1],
+		[18, 2]
+	],
+	"18": [
+		[6, 2],
+		[1, 1.5],
+		[17, 2]
+	]
+}
Index: ckend/subjects/tag_graph.json
===================================================================
--- backend/subjects/tag_graph.json	(revision 1a7fd2e9019cfafaba0e730e5f2d7b8fc3f1cd24)
+++ 	(revision )
@@ -1,75 +1,0 @@
-{
-	"0": [
-		[6, 1.5],
-		[5, 3],
-		[10, 3]
-	],
-	"1": [
-		[12, 0.75],
-		[18, 1.5]
-	],
-	"2": [
-		[16, 1.5],
-		[12, 2],
-		[3, 1],
-		[4, 1]
-	],
-	"3": [
-		[10, 1],
-		[13, 0.33],
-		[2, 0.5]
-	],
-	"4": [
-		[16, 1],
-		[12, 2],
-		[2, 1]
-	],
-	"5": [
-		[0, 3],
-		[10, 3]
-	],
-	"6": [
-		[18, 2],
-		[0, 1.5]
-	],
-	"7": [[14, 1]],
-	"8": [[9, 1]],
-	"9": [
-		[8, 1],
-		[10, 2],
-		[13, 2]
-	],
-	"10": [
-		[13, 1],
-		[3, 2],
-		[9, 2],
-		[0, 3],
-		[5, 3]
-	],
-	"11": [[17, 1]],
-	"12": [
-		[1, 1.5],
-		[2, 1],
-		[4, 2]
-	],
-	"13": [
-		[10, 1],
-		[3, 0.5],
-		[9, 2]
-	],
-	"14": [[7, 1]],
-	"15": [],
-	"16": [
-		[4, 1],
-		[2, 1]
-	],
-	"17": [
-		[11, 1],
-		[18, 2]
-	],
-	"18": [
-		[6, 2],
-		[1, 1.5],
-		[17, 2]
-	]
-}
Index: ckend/subjects/tag_graph.py
===================================================================
--- backend/subjects/tag_graph.py	(revision 1a7fd2e9019cfafaba0e730e5f2d7b8fc3f1cd24)
+++ 	(revision )
@@ -1,111 +1,0 @@
-import json
-
-TAGS = [
-    "AI / ML",
-    "Cloud Engineering & DevOps",
-    "Computer Architecture",
-    "Computer Science",
-    "Cybersecurity",
-    "Data Science",
-    "Databases",
-    "Education",
-    "Embedded Systems",
-    "Game Development",
-    "Mathematics",
-    "Multimedia",
-    "Networking",
-    "Physics",
-    "Societal Skills",
-    "Software Engineering",
-    "Systems Infrastructure",
-    "UI/UX & Digital Media",
-    "Web Development"
-]
-
-EDGES = [
-    ("Mathematics", "Physics", 1),
-    ("Physics", "Mathematics", 1),
-    ("Web Development", "Databases", 2),
-    ("Databases", "Web Development", 2),
-    ("Databases", "AI / ML", 1.5),
-    ("AI / ML", "Databases", 1.5),
-    ("Data Science", "AI / ML", 3),
-    ("AI / ML", "Data Science", 3),
-    ("Cybersecurity", "Systems Infrastructure", 1),
-    ("Systems Infrastructure", "Cybersecurity", 1),
-    ("Computer Architecture", "Systems Infrastructure", 1.5),
-    ("Systems Infrastructure", "Computer Architecture", 1),
-    ("Game Development", "Embedded Systems", 1),
-    ("Embedded Systems", "Game Development", 1),
-    ("Cloud Engineering & DevOps", "Networking", 0.75),
-    ("Networking", "Cloud Engineering & DevOps", 1.5),
-    ("Computer Science", "Mathematics", 1),
-    ("Mathematics", "Computer Science", 2),
-    ("Computer Science", "Physics", 0.33),
-    ("Physics", "Computer Science", 0.5),
-    ("Computer Architecture", "Networking", 2),
-    ("Networking", "Computer Architecture", 1),
-    ("Computer Architecture", "Computer Science", 1),
-    ("Computer Science", "Computer Architecture", 0.5),
-    ("UI/UX & Digital Media", "Multimedia", 1),
-    ("Multimedia", "UI/UX & Digital Media", 1),
-    ("Societal Skills", "Education", 1),
-    ("Education", "Societal Skills", 1),
-    ("Web Development", "Cloud Engineering & DevOps", 1.5),
-    ("Cloud Engineering & DevOps", "Web Development", 1.5),
-    ("Game Development", "Mathematics", 2),
-    ("Mathematics", "Game Development", 2),
-    ("Game Development", "Physics", 2),
-    ("Physics", "Game Development", 2),
-    ("Web Development", "UI/UX & Digital Media", 2),
-    ("UI/UX & Digital Media", "Web Development", 2),
-    ("Cybersecurity", "Networking", 2),
-    ("Networking", "Cybersecurity", 2),
-    ("Cybersecurity", "Computer Architecture", 1),
-    ("Computer Architecture", "Cybersecurity", 1),
-    ("AI / ML", "Mathematics", 3),
-    ("Mathematics", "AI / ML", 3),
-    ("Data Science", "Mathematics", 3),
-    ("Mathematics", "Data Science", 3)
-]
-
-def add(tag1, tag2, weight):
-    tag_graph[tag1].append((tag2, weight))
-
-tag_graph = {}
-for tag in TAGS:
-    tag_graph[tag] = []
-
-for edge in EDGES:
-    add(edge[0], edge[1], edge[2])
-
-tag_to_col_index = {}
-
-for i, tag in enumerate(TAGS):
-    tag_to_col_index[tag] = i
-
-final_tag_graph = {}
-
-for key in tag_graph.keys():
-    key_index = tag_to_col_index[key]
-    
-    for i, val in enumerate(tag_graph[key]):
-        n, w = val
-        tag_graph[key][i] = (tag_to_col_index[n], w)
-    
-    final_tag_graph[key_index] = tag_graph[key]
-
-
-
-with open("tag_graph.json", "w") as f:
-    json.dump(final_tag_graph, f)
-
-
-
-
-
-
-
-
-
-
Index: backend/subjects/utils.py
===================================================================
--- backend/subjects/utils.py	(revision 1a7fd2e9019cfafaba0e730e5f2d7b8fc3f1cd24)
+++ backend/subjects/utils.py	(revision 9e0e9993769495c5bbe65211bcd787714920fa88)
@@ -1,4 +1,3 @@
 from copy import deepcopy
-from subjects.consts import SUBJECTS_VECTOR
 from subjects.management.commands import subjects_vector
 from subjects.models import Subject
@@ -7,4 +6,5 @@
 from django.db.models import Q
 import os
+from subjects.consts import BIAS_STUDENT_HAS_ONE, BIAS_SUBJECT_HAS_ONE, WEIGHTS, NUMBER_OF_SUGGESTIONS
 
 def get_eligible_subjects(student, season = 2):
@@ -24,5 +24,4 @@
     )
 
-
     if season != 2:
         if season == 0:
@@ -30,5 +29,4 @@
         elif season == 1:
             all_subjects = all_subjects.exclude(subject_info__season='S')
-
 
     if study_effort < 3:
@@ -93,7 +91,12 @@
 
 def map_to_subjects_vector(subjects):
+    base_dir = Path(__file__).resolve().parent
+    SUBJECTS_VECTOR_PATH = base_dir / 'management' / 'data' / 'subjects_vector.json'
+    with open(SUBJECTS_VECTOR_PATH, 'r', encoding='utf-8') as f:
+        subjects_vector = json.load(f)
+
     filtered_subject_vectors = {}
     for subject in subjects:
-        vector = SUBJECTS_VECTOR.get(subject.name)
+        vector = subjects_vector.get(subject.name)
         if vector:
             filtered_subject_vectors[subject.name] = vector
@@ -102,9 +105,6 @@
 
 
-BIAS_SUBJECT_HAS_ONE = 0.75
-BIAS_STUDENT_HAS_ONE = 0.9
-
 def score_tags(student_vector, subject_vector):
-    TAG_GRAPH_PATH = os.path.join(os.path.dirname(__file__), 'tag_graph.json')
+    TAG_GRAPH_PATH = Path(__file__).resolve().parent / 'management' / 'data' / 'tag_graph.json'
 
     with open(TAG_GRAPH_PATH, 'r', encoding='utf-8') as f:
@@ -159,21 +159,8 @@
         
         study_effort = student_vector["study_effort"]
-
-        # filtered_subjects_vector[subject]['effort'] = (1 - study_effort) * values['isEasy']
-
-        # if 0 < study_effort < 1:
-        #     filtered_subjects_vector[subject]['effort'] = (1 - study_effort) * values['isEasy']
-        
-        # ako on se zamara (study_effort == 1) i predmetot ima isEasy e true onda 0 (ne ni e gajle za vakvite), 
-        # ako on ne se zaamra (study_effort == 0) i predmetot ima isEasy e false onda pak 0 (ne ni e gajle za vakvite),
-        # vo sprotivno 1 deka se zamara i e tezok i obratno ne se zamara i e lesen 
-        # else:
-        #     filtered_subjects_vector[subject]['effort'] = 0
         
         if study_effort == 0.25 and values['isEasy'] or study_effort == 0.75 and not values['isEasy']:
             filtered_subjects_vector[subject]['effort'] = 1
         else:
-            # ova pravi smisla poso za 3 znaci deka mu e seedno, a ako e 1 ili 5 veke se isfiltrirani lesni/nelesni predmeti soodvetno
-            # sto znaci deka toj faktor e veke zemen predvid
             filtered_subjects_vector[subject]['effort'] = 0
             
@@ -183,16 +170,4 @@
 
     return filtered_subjects_vector
-
-WEIGHTS = {
-    "professors": 0.065,
-    "technologies": 0.065,
-    "tags": 0.4,
-    "evaluation": 0.15, 
-    "effort": 0.3,
-    "activated": 0.01,
-    "participant_score": 0.01,
-}
-
-NUMBER_OF_SUGGESTIONS = 7
 
 def get_recommendations(filtered_subjects_vector):
Index: frontend/src/pages/Account.tsx
===================================================================
--- frontend/src/pages/Account.tsx	(revision 1a7fd2e9019cfafaba0e730e5f2d7b8fc3f1cd24)
+++ frontend/src/pages/Account.tsx	(revision 9e0e9993769495c5bbe65211bcd787714920fa88)
@@ -1,46 +1,44 @@
 import { useEffect, useState } from "react";
 import { useNavigate } from "react-router-dom";
+import { toast } from "react-toastify";
 import StudentForm from "../components/StudentForm/StudentForm";
 import { StudentData } from "../components/types";
+import { useAuth } from "../hooks/useAuth";
 import useAxiosAuth from "../hooks/useAxiosAuth";
-import { toast } from "react-toastify";
-import { useAuth } from "../hooks/useAuth";
 
 const Account = () => {
-    const axiosAuth = useAxiosAuth();
-    const navigate = useNavigate();
-    const { logout } = useAuth();
-    const [formData, setFormData] = useState<StudentData | null>(null);
-    const [isLoading, setIsLoading] = useState(true);
+	const axiosAuth = useAxiosAuth();
+	const navigate = useNavigate();
+	const { logout } = useAuth();
+	const [formData, setFormData] = useState<StudentData | null>(null);
+	const [isLoading, setIsLoading] = useState(true);
 
-    useEffect(() => {
-        const fetchData = async () => {
-            try {
-                const resForm = await axiosAuth.get("/auth/form/");
-                setFormData(resForm.data);
-            } catch (error) {
-                console.error(error);
-                toast.error("Could not fetch form data after retries.");
-                logout()
-                navigate("/login");
-            } finally {
-                // garantira deka nema da dobies za 1/4s (arbitrary) skeletonform iako loadnal data
-                await new Promise((resolve) => setTimeout(resolve, 250));
-                setIsLoading(false);
-            }
-        };
+	useEffect(() => {
+		const fetchData = async () => {
+			try {
+				const resForm = await axiosAuth.get("/auth/form/");
+				setFormData(resForm.data);
+			} catch (error) {
+				console.error(error);
+				toast.error("Could not fetch form data after retries.");
+				logout();
+				navigate("/login");
+			} finally {
+				setIsLoading(false);
+			}
+		};
 
-        fetchData();
-    }, [axiosAuth, logout, navigate]); 
+		fetchData();
+	}, [axiosAuth, logout, navigate]);
 
-    return (
-        <div className="p-4">
-            <StudentForm
-                formData={formData}
-                isLoading={isLoading}
-                setIsLoading={setIsLoading}
-            />
-        </div>
-    );
+	return (
+		<div className="p-4">
+			<StudentForm
+				formData={formData}
+				isLoading={isLoading}
+				setIsLoading={setIsLoading}
+			/>
+		</div>
+	);
 };
 
Index: frontend/src/pages/Login.tsx
===================================================================
--- frontend/src/pages/Login.tsx	(revision 1a7fd2e9019cfafaba0e730e5f2d7b8fc3f1cd24)
+++ frontend/src/pages/Login.tsx	(revision 9e0e9993769495c5bbe65211bcd787714920fa88)
@@ -2,110 +2,111 @@
 import React, { useState } from "react";
 import { Link, useNavigate } from "react-router-dom";
+import { toast } from "react-toastify";
 import PasswordInput from "../components/PasswordInput";
 import { useAuth } from "../hooks/useAuth";
-import { toast } from "react-toastify";
 
 interface LoginForm {
-  email: string;
-  password: string;
+	email: string;
+	password: string;
 }
 
 const Login: React.FC = () => {
-  const [formData, setFormData] = useState<LoginForm>({
-    email: "",
-    password: "",
-  });
-  const [errors, setErrors] = useState<
-    Partial<LoginForm> & { detail?: string[] }
-  >({});
-  const navigate = useNavigate();
-  const { login } = useAuth();
+	const [formData, setFormData] = useState<LoginForm>({
+		email: "",
+		password: "",
+	});
+	const [errors, setErrors] = useState<
+		Partial<LoginForm> & { detail?: string[] }
+	>({});
+	const navigate = useNavigate();
+	const { login } = useAuth();
 
-  const handleChange = (e: React.ChangeEvent<HTMLInputElement>) => {
-    setFormData({
-      ...formData,
-      [e.target.name]: e.target.value,
-    });
-  };
+	const handleChange = (e: React.ChangeEvent<HTMLInputElement>) => {
+		setFormData({
+			...formData,
+			[e.target.name]: e.target.value,
+		});
+	};
 
-  const handleLogin = async (e: React.FormEvent) => {
-    e.preventDefault();
-    setErrors({});
+	const handleLogin = async (e: React.FormEvent) => {
+		e.preventDefault();
+		setErrors({});
 
-    try {
-      const response = await axios.post<{
-        access: string;
-        refresh: string;
-      }>("http://localhost:8000/auth/login/", {
-        email: formData.email,
-        password: formData.password,
-      });
-      const { access, refresh } = response.data;
-      login(access, refresh);
-      navigate("/");
-      toast.success("Успешно сте најавени!");
-    } catch (err: unknown) {
-      const axiosError = err as AxiosError<{
-        [key: string]: string[] | string;
-      }>;
-      console.error("Error response data:", axiosError.response?.data);
+		try {
+			const response = await axios.post<{
+				access: string;
+				refresh: string;
+			}>("http://localhost:8000/auth/login/", {
+				email: formData.email,
+				password: formData.password,
+			});
+			const { access, refresh } = response.data;
+			login(access, refresh);
+			navigate("/");
+			toast.success("Успешно сте најавени!");
+		} catch (err: unknown) {
+			const axiosError = err as AxiosError<{
+				[key: string]: string[] | string;
+			}>;
+			console.error("Error response data:", axiosError.response?.data);
 
-      if (axiosError.response && axiosError.response.data) {
-        const errorData = axiosError.response.data;
-        const normalizedErrors: { [key: string]: string[] } = {};
-        Object.entries(errorData).forEach(([field, message]) => {
-          normalizedErrors[field] = Array.isArray(message)
-            ? message
-            : [message];
-        });
-        setErrors(normalizedErrors);
-      } else {
-        setErrors({ detail: ["An unknown error occurred."] });
-      }
-    }
-  };
-  return (
-    <div className="flex flex-col items-center justify-center h-screen bg-gray-50">
-      <form
-        onSubmit={handleLogin}
-        className="bg-white p-6 rounded-lg shadow-md w-80"
-      >
-        <h2 className="text-xl font-semibold mb-4 text-center">Login</h2>
-        {errors.detail && (
-          <div className="text-red-500 mb-3 text-sm">{errors.detail[0]}.</div>
-        )}
-        <input
-          type="email"
-          name="email"
-          required
-          value={formData.email}
-          onChange={handleChange}
-          placeholder="Email"
-          className="w-full mb-3 p-2 border rounded"
-        />
-        {errors.email && (
-          <p className="text-red-500 text-sm mb-2">{errors.email[0]}</p>
-        )}
-        <PasswordInput
-          name="password"
-          value={formData.password}
-          onChange={handleChange}
-          error={errors.password ? errors.password[0] : undefined}
-        />
-        <p className="mb-4 text-sm text-center">
-          Немаш профил?{" "}
-          <Link to="/register" className="text-blue-500 hover:underline">
-            Регистрирај се
-          </Link>
-        </p>
-        <button
-          type="submit"
-          className="w-full bg-blue-500 text-white p-2 rounded hover:bg-blue-600"
-        >
-          Login
-        </button>
-      </form>
-    </div>
-  );
+			if (axiosError.response && axiosError.response.data) {
+				const errorData = axiosError.response.data;
+				const normalizedErrors: { [key: string]: string[] } = {};
+				Object.entries(errorData).forEach(([field, message]) => {
+					normalizedErrors[field] = Array.isArray(message)
+						? message
+						: [message];
+				});
+				setErrors(normalizedErrors);
+			} else {
+				setErrors({ detail: ["An unknown error occurred."] });
+			}
+		}
+	};
+	return (
+		<div className="flex flex-col items-center justify-center h-screen bg-gray-50">
+			<form
+				onSubmit={handleLogin}
+				className="bg-white p-6 rounded-lg shadow-md w-80"
+			>
+				<h2 className="text-xl font-semibold mb-4 text-center">Login</h2>
+				{errors.detail && (
+					<div className="text-red-500 mb-3 text-sm">{errors.detail[0]}.</div>
+				)}
+				<input
+					type="email"
+					name="email"
+					required
+					value={formData.email}
+					onChange={handleChange}
+					placeholder="Email"
+					className="w-full mb-3 p-2 border rounded"
+				/>
+				{errors.email && (
+					<p className="text-red-500 text-sm mb-2">{errors.email[0]}</p>
+				)}
+				<PasswordInput
+					name="password"
+					value={formData.password}
+					onChange={handleChange}
+					placeholder="Лозинка"
+					error={errors.password ? errors.password[0] : undefined}
+				/>
+				<p className="mb-4 text-sm text-center">
+					Немаш профил?{" "}
+					<Link to="/register" className="text-blue-500 hover:underline">
+						Регистрирај се
+					</Link>
+				</p>
+				<button
+					type="submit"
+					className="w-full bg-blue-500 text-white p-2 rounded hover:bg-blue-600"
+				>
+					Login
+				</button>
+			</form>
+		</div>
+	);
 };