Fixed some things.

Author: IDoUseLinux

Debug/debug_student.json

@@ -0,0 +1,23 @@
+{
+    "T1 High Student" : {
+
+    },
+    "T1 Normal Student" : {
+
+    },
+    "T2 Normal Student" : {
+
+    },
+    "T3 Normal Student" : {
+
+    },
+    "T4 Normal Student" : {
+
+    },
+    "T5 Normal Student" : {
+
+    },
+    "T5 Low Student" : {
+        
+    }
+}

Debug/gen_debug_student.py

@@ -0,0 +1,4 @@
+import json, sys, os
+## This makes the scripts behave with the code...
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+import universities, clubs, AP, awards, challenges, sports

main.py

@@ -18,7 +18,7 @@
 build_tag = "Alpha-1234"
 
 class app() :
-    CAREER_PATHS = ["Undecided", "STEM", "Art", "Music", "Business", "Law", "Medical", "Sports", "Other"]
+    CAREER_PATHS = ["Undecided", "Tech", "Engineering", "Art", "Music", "Business", "Law", "Medicine", "Sports", "Other"]
 
     AP_T1 = [
         "Calculus AB",
@@ -859,7 +859,7 @@ def generate_report(self,) :
             career_path = self.career_dd.get()
             assert (career_path != "-")
 
-            self.student_score = self.sat_score/75 + self.gpa*8
+            self.student_score = self.sat_score/60 + self.gpa*8
 
             ## Very dumb but it works so :shrug:
             tempTotal = 0

tier1.json

@@ -4,7 +4,7 @@
         "75_sat" : 1580,
         "50_sat" : 1550,
         "25_sat" : 1490,
-        "tags" : ["Ivy", "LaRge", "Law", "Business", "Medical"]
+        "tags" : ["Ivy", "LaRge", "Law", "Business", "Medicine"]
     },
     "Princeton University" : {
         "acc_rate" : 0.057,
@@ -88,7 +88,7 @@
         "75_sat" : 1570,
         "50_sat" : 1550,
         "25_sat" : 1520,
-        "tags" : ["Ivy-Adjacent", "Medium", "Medical"]
+        "tags" : ["Ivy-Adjacent", "Medium", "Medicine"]
     },
     "University of Chicago" : {
         "acc_rate" : 0.054,
@@ -130,13 +130,13 @@
         "75_sat" : 1530,
         "50_sat" : 1420,
         "25_sat" : 1340,
-        "tags" : ["Ivy-Adjacent", "UC System", "Large", "Public Ivy", "Business", "Tech", "Law"]
+        "tags" : ["Ivy-Adjacent", "UC System", "Large", "Public Ivy", "Business", "Tech", "Law", "Engineering"]
     }, 
     "New York University" : {
         "acc_rate" : 0.09,
         "75_sat" : 1570,
         "50_sat" : 1520,
         "25_sat" : 1470,
-        "tags" : ["Ivy-Adjacent", "Large", "Business", "Medical"]
+        "tags" : ["Ivy-Adjacent", "Large", "Business", "Medicine"]
     }
 }

tier2.json

@@ -4,21 +4,21 @@
         "75_sat" : 1550,
         "50_sat" : 1490,
         "25_sat" : 1460,
-        "tags" : ["UC System", "Large", "Public Ivy", "Business", "Art", "Music", "Tech", "Medical", "Sports", "Law"]
+        "tags" : ["UC System", "Large", "Public Ivy", "Business", "Art", "Music", "Tech", "Medicine", "Sports", "Law"]
     },
     "Georgetown University" : {
         "acc_rate" : 0.12,
         "75_sat" : 1540,
         "50_sat" : 1460,
         "25_sat" : 1410,
-        "tags" : ["Medium", "Law"]
+        "tags" : ["Medium", "Law", "Medicine"]
     },
     "University of Southern California" : {
         "acc_rate" : 0.12,
         "75_sat" : 1520,
         "50_sat" : 1440,
         "25_sat" : 1330,
-        "tags" : ["Medium", "Sports", "STEM"]
+        "tags" : ["Medium", "Sports", "Tech", "Engineering", "Medicine"]
     },
     "Carnegie Mellon University" : {
         "acc_rate": 0.11,
@@ -60,7 +60,7 @@
         "75_sat" : 1540,
         "50_sat" : 1510,
         "25_sat" : 1470,
-        "tags" : ["Medium", "Medical"]
+        "tags" : ["Medium", "Medicine"]
     },
     "University of Virgina" : {
         "acc_rate" : 0.19,
@@ -74,7 +74,7 @@
         "75_sat" : 1570,
         "50_sat" : 1540,
         "25_sat" : 1500,
-        "tags" : ["Medium", "Medical"]
+        "tags" : ["Medium", "Medicine"]
     },
     "University of Florida" : {
         "acc_rate" : 0.23,
@@ -131,5 +131,12 @@
         "50_sat" : 1420,
         "25_sat" : 1350,
         "tags" : ["Small", "Art"]
+    },
+    "University of California, San Diego" : {
+        "acc_rate" : 0.268,
+        "75_sat" : 1520,
+        "50_sat" : 1410,
+        "25_sat" : 1300,
+        "tags" : ["UC System", "Large", "Public Ivy", "Engineering"] 
     }
 }

tier3.json

@@ -46,7 +46,7 @@
         "75_sat" : 1520,
         "50_sat" : 1470,
         "25_sat" : 1410,
-        "tags" : ["Medium", "Medical"]
+        "tags" : ["Medium", "Medicine"]
     },
     "Florida State University" : {
         "acc_rate" : 0.25,
@@ -95,7 +95,7 @@
         "75_sat" : 1450,
         "50_sat" : 1360,
         "25_sat" : 1270,
-        "tags" : ["Large", "Medical", "Engineering"]
+        "tags" : ["Large", "Medicine", "Engineering"]
     },
     "Landmark College" : {
         "acc_rate" : 0.45,

tier4.json

@@ -60,7 +60,7 @@
         "75_sat" : 1430,
         "50_sat" : 1340,
         "25_sat" : 1270,
-        "tags" : ["Large", "Medical", "Sports"]
+        "tags" : ["Large", "Medicine", "Sports"]
     },
     "University of Massachusetts, Amherst" : {
         "acc_rate" : 0.58,

todo.txt

@@ -1,7 +1,2 @@
 Give some suggestions on improving academic performance
-- General GPA
-- Give the some prep talk about the importance of certain things. 
-- Major preperation
-- SAT recommendations 
-- Recommendation for club engagement, such as leadership position, different skills, and talents
-- Have some recommendations for the user to improve upon themselves
+Recommend the user 2 reach schools, 3 same-tier schools, and 1 safety school for a total of 7 schools.