Upload 5 files

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+DejaVuSans.ttf filter=lfs diff=lfs merge=lfs -text
+food_vision_model[[:space:]](2).keras filter=lfs diff=lfs merge=lfs -text

DejaVuSans.ttf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:abdc775b21b1bc470d50c97e790d276f2054b7504e56e5bd3e64f48d68582322
+size 759720

food_info (1).json

@@ -0,0 +1,112 @@
+{
+  "akara": {
+    "display_name": "Akara (Bean Cake)",
+    "ethnicity": "Yoruba / Nigeria-wide",
+    "ingredients": ["black-eyed beans", "onions", "pepper", "salt", "vegetable oil"],
+    "calories": 350,
+    "carbs": 30,
+    "protein": 12,
+    "fat": 20,
+    "diet_type": "Vegan",
+    "substitute": "Baked bean cakes"
+  },
+  "banga_soup": {
+    "display_name": "Banga Soup",
+    "ethnicity": "Niger Delta / Urhobo",
+    "ingredients": ["palm fruit extract", "beef", "stockfish", "crayfish", "seasoning"],
+    "calories": 500,
+    "carbs": 10,
+    "protein": 25,
+    "fat": 40,
+    "diet_type": "Non-vegan",
+    "substitute": "Vegetable oil okra soup"
+  },
+  "egusi_soup": {
+    "display_name": "Egusi Soup",
+    "ethnicity": "Igbo / Yoruba / Pan-Nigerian",
+    "ingredients": ["melon seeds", "vegetable oil", "leafy greens", "meat", "crayfish"],
+    "calories": 600,
+    "carbs": 12,
+    "protein": 28,
+    "fat": 45,
+    "diet_type": "Non-vegan",
+    "substitute": "Pumpkin soup"
+  },
+  "jollof_rice": {
+    "display_name": "Jollof Rice",
+    "ethnicity": "West African / Nigeria",
+    "ingredients": ["rice", "tomato paste", "vegetable oil", "onion", "pepper"],
+    "calories": 450,
+    "carbs": 65,
+    "protein": 8,
+    "fat": 15,
+    "diet_type": "Vegan",
+    "substitute": "Brown rice with grilled veggies"
+  },
+  "moi_moi": {
+    "display_name": "Moi Moi",
+    "ethnicity": "Yoruba / Nigeria-wide",
+    "ingredients": ["beans", "pepper", "onions", "oil", "egg (optional)"],
+    "calories": 300,
+    "carbs": 25,
+    "protein": 10,
+    "fat": 12,
+    "diet_type": "Vegan/Non-vegan",
+    "substitute": "Steamed lentil cakes"
+  },
+  "nkwobi": {
+    "display_name": "Nkwobi",
+    "ethnicity": "Igbo",
+    "ingredients": ["cow foot", "palm oil", "utazi leaves", "seasoning"],
+    "calories": 520,
+    "carbs": 5,
+    "protein": 35,
+    "fat": 38,
+    "diet_type": "Non-vegan",
+    "substitute": "Lean meat pepper soup"
+  },
+  "okpa": {
+    "display_name": "Okpa (Bambara Cake)",
+    "ethnicity": "Enugu / Southeastern Nigeria",
+    "ingredients": ["bambara nut flour", "pepper", "oil", "salt"],
+    "calories": 360,
+    "carbs": 40,
+    "protein": 15,
+    "fat": 18,
+    "diet_type": "Vegan",
+    "substitute": "Steamed mung bean cake"
+  },
+  "suya": {
+    "display_name": "Suya",
+    "ethnicity": "Hausa / Northern Nigeria",
+    "ingredients": ["beef", "yaji spice", "oil", "salt"],
+    "calories": 480,
+    "carbs": 6,
+    "protein": 35,
+    "fat": 30,
+    "diet_type": "Non-vegan",
+    "substitute": "Grilled chicken breast with herbs"
+  },
+  "tuwo": {
+    "display_name": "Tuwo Shinkafa",
+    "ethnicity": "Hausa / Northern Nigeria",
+    "ingredients": ["rice", "water", "salt"],
+    "calories": 320,
+    "carbs": 70,
+    "protein": 5,
+    "fat": 1,
+    "diet_type": "Vegan",
+    "substitute": "Millet flour tuwo"
+  },
+  "yam_porridge": {
+    "display_name": "Yam Porridge",
+    "ethnicity": "Yoruba / Nigeria-wide",
+    "ingredients": ["yam", "palm oil", "leafy greens", "pepper", "onion"],
+    "calories": 400,
+    "carbs": 55,
+    "protein": 8,
+    "fat": 20,
+    "diet_type": "Vegan",
+    "substitute": "Boiled yam with vegetable sauce"
+  }
+}

food_vision_model (2).keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:74d84bb819d6372e5140ebd94f18a2aae5c7808a35053a52b7b401b2dc2def7a
+size 46865784

health_logic (1).py

@@ -0,0 +1,56 @@
+def generate_advice(food_info, conditions):
+    ingredients = [i.lower() for i in food_info["ingredients"]]
+    fat = food_info["fat"]
+    calories = food_info["calories"]
+    carbs = food_info["carbs"]
+    protein = food_info["protein"]
+
+    risk_score = 0
+    flags = []
+    advice_parts = []
+
+    for cond in conditions:
+        if cond == "Diabetic":
+            if "sugar" in ingredients or carbs > 40:
+                risk_score += 30
+                flags.append("High carb")
+                advice_parts.append("Reduce starchy ingredients or use low-GI substitutes.")
+
+        if cond == "Hypertensive":
+            if "salt" in ingredients:
+                risk_score += 20
+                flags.append("Salt content")
+                advice_parts.append("Avoid adding salt; use natural spices.")
+            if fat > 25:
+                risk_score += 15
+                flags.append("High fat")
+
+        if cond == "Weight Loss":
+            if calories > 400:
+                risk_score += 25
+                flags.append("High calorie")
+                advice_parts.append("Consider smaller portions or reduce oil usage.")
+
+        if cond == "Malnourished":
+            if protein < 10:
+                risk_score += 15
+                flags.append("Low protein")
+                advice_parts.append("Add protein-rich sides like beans or eggs.")
+
+        if cond == "Pregnant/Nursing":
+            if protein < 10:
+                risk_score += 10
+                flags.append("Low protein for pregnancy")
+                advice_parts.append("Increase protein with fish, legumes, or eggs.")
+
+        if cond == "Cholesterol Watch":
+            if "palm oil" in ingredients or fat > 25:
+                risk_score += 20
+                flags.append("Cholesterol risk")
+                advice_parts.append("Avoid palm oil and fried foods.")
+
+    if not advice_parts:
+        advice_parts.append("No major risks detected. Enjoy in moderation.")
+
+    advice = " ".join(set(advice_parts))
+    return advice, min(risk_score, 100), flags

requirements.txt

@@ -0,0 +1,7 @@
+gradio>=4.28.0
+tensorflow>=2.13.0
+numpy>=1.24.0
+Pillow>=9.5.0
+fpdf2>=2.7.8
+gTTS>=2.3.2
+deep-translator>=1.11.4