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app.py

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+from flask import Flask, render_template, request
+import pandas as pd
+import numpy as np
+import plotly.graph_objects as go
+
+app = Flask(__name__)
+
+# Load the diet data
+diet_df = pd.read_csv("edi-4data.csv")
+
+# Diet category mapping
+diet_category_map = {1: "underweight", 2: "normal", 3: "overweight", 4: "obese", 5: "extremely obese"}
+
+# Replace missing values if any
+diet_df.fillna(0, inplace=True)
+
+
+def split_calorie_intake(total_calories):
+    breakfast_calories = total_calories * 0.3
+    lunch_calories = total_calories * 0.4
+    dinner_calories = total_calories * 0.3
+    return breakfast_calories, lunch_calories, dinner_calories
+
+
+def generate_meal_options(df, calories):
+    meal_options = df.sample(frac=1).reset_index(drop=True)
+    total_calories = meal_options['Calories (kcal)'].sum()
+
+    while total_calories > calories + 200 or total_calories < calories - 200:
+        if total_calories > calories + 200:
+            meal_options = meal_options.iloc[:-1]
+        elif total_calories < calories - 200:
+            meal_options = pd.concat([meal_options, df.sample()])
+        total_calories = meal_options['Calories (kcal)'].sum()
+
+    return meal_options
+
+
+def optimize_meal(meal_df, target_calories):
+    meal_df = meal_df.sort_values(by='Calories (kcal)', ascending=False)
+    selected_items = []
+    remaining_calories = target_calories
+
+    for index, row in meal_df.iterrows():
+        if remaining_calories >= row['Calories (kcal)']:
+            selected_items.append(index)
+            remaining_calories -= row['Calories (kcal)']
+
+    if remaining_calories > 0:
+        nearest_solution = None
+        nearest_difference = float('inf')
+        for index, row in meal_df.iterrows():
+            if index not in selected_items:
+                difference = abs(row['Calories (kcal)'] - remaining_calories)
+                if difference < nearest_difference:
+                    nearest_solution = index
+                    nearest_difference = difference
+
+        if nearest_solution is not None:
+            selected_items.append(nearest_solution)
+
+    return meal_df.loc[selected_items]
+
+
+def generate_diet_chart(user_data, df):
+    temp_df = df.copy()
+
+    # Filter for vegetarian if needed
+    if user_data['dietary_preference'] == 'veg':
+        temp_df = temp_df[temp_df['veg/nonveg'] == 1]
+
+    # Remove foods with allergens/diseases mentioned
+    if user_data['allergies_diseases']:
+        allergies = user_data['allergies_diseases'].split(',')
+        for allergy in allergies:
+            temp_df = temp_df[~temp_df['Food Item'].str.contains(allergy.strip(), case=False, na=False)]
+
+    # Split the new calorie intake into meals
+    breakfast_calories, lunch_calories, dinner_calories = split_calorie_intake(user_data['new_calorie_intake'])
+
+    breakfast_options = generate_meal_options(temp_df, breakfast_calories)
+    lunch_options = generate_meal_options(temp_df, lunch_calories)
+    dinner_options = generate_meal_options(temp_df, dinner_calories)
+
+    breakfast_df = optimize_meal(breakfast_options, breakfast_calories)
+    lunch_df = optimize_meal(lunch_options, lunch_calories)
+    dinner_df = optimize_meal(dinner_options, dinner_calories)
+
+    return breakfast_df, lunch_df, dinner_df
+
+
+@app.route("/", methods=["GET", "POST"])
+def index():
+    results = None
+    if request.method == "POST":
+        # Get user input from the form
+        user_gender = request.form.get("user_gender")
+        user_gender_value = 0 if user_gender == "Male" else 1
+        user_height = float(request.form.get("user_height"))
+        user_weight = float(request.form.get("user_weight"))
+        user_age = int(request.form.get("user_age"))
+        allergies_diseases = request.form.get("allergies_diseases", "").strip().lower()
+        dietary_preference = request.form.get("dietary_preference", "").strip().lower()
+        activity_level = int(request.form.get("activity_level"))
+
+        # Calculate BMI
+        bmi = user_weight / ((user_height / 100) ** 2)
+
+        # Dummy prediction for BMI category
+        if bmi < 18.5:
+            predicted_category = 1  # Underweight
+        elif bmi < 25:
+            predicted_category = 2  # Normal weight
+        elif bmi < 30:
+            predicted_category = 3  # Overweight
+        elif bmi < 35:
+            predicted_category = 4  # Obese
+        else:
+            predicted_category = 5  # Extremely Obese
+
+        # Calculate initial calorie intake using the Mifflin-St Jeor equation
+        initial_calorie_intake = 10 * user_weight + 6.25 * user_height - 5 * user_age + (5 if user_gender_value == 0 else -161)
+
+        # Adjust calorie intake based on BMI category
+        if predicted_category == 1:  # Underweight
+            normal_bmi_calories = 18 * ((user_height / 100) ** 2)
+            new_calorie_intake = initial_calorie_intake + normal_bmi_calories + 650
+            calorie_adjustment = normal_bmi_calories
+        elif predicted_category in [3, 4]:  # Overweight or Obese
+            normal_bmi_calories = 25 * ((user_height / 100) ** 2)
+            new_calorie_intake = initial_calorie_intake - normal_bmi_calories + 200
+            calorie_adjustment = normal_bmi_calories
+        else:
+            calorie_adjustment = 0
+            new_calorie_intake = initial_calorie_intake + calorie_adjustment + 350
+
+        user_data = {
+            'bmi': round(bmi, 2),
+            'body_category': diet_category_map[predicted_category],
+            'initial_calorie_intake': round(initial_calorie_intake, 2),
+            'calorie_adjustment': calorie_adjustment,
+            'new_calorie_intake': round(new_calorie_intake, 2),
+            'allergies_diseases': allergies_diseases,
+            'dietary_preference': dietary_preference,
+            'activity_level': activity_level,
+            'age': user_age
+        }
+
+        # Generate diet chart for breakfast, lunch, and dinner
+        breakfast_df, lunch_df, dinner_df = generate_diet_chart(user_data, diet_df)
+
+        # Generate Plotly chart for calorie distribution among meals
+        meal_labels = ['Breakfast', 'Lunch', 'Dinner']
+        calorie_values = [
+            breakfast_df['Calories (kcal)'].sum(),
+            lunch_df['Calories (kcal)'].sum(),
+            dinner_df['Calories (kcal)'].sum()
+        ]
+        fig_cal = go.Figure(data=[go.Bar(x=meal_labels, y=calorie_values, marker_color=['blue', 'green', 'orange'])])
+        fig_cal.update_layout(title_text='Calorie Distribution Among Meals',
+                              xaxis_title='Meal', yaxis_title='Calories (kcal)')
+        calorie_chart = fig_cal.to_html(full_html=False)
+
+        # Generate Plotly chart for nutrient distribution across meals
+        nutrient_labels = ['Protein', 'Carbohydrates', 'Fats']
+        breakfast_nutrients = [
+            breakfast_df['Protein (g)'].sum(),
+            breakfast_df['Carbohydrates(g)'].sum(),
+            breakfast_df['Fats (g)'].sum()
+        ]
+        lunch_nutrients = [
+            lunch_df['Protein (g)'].sum(),
+            lunch_df['Carbohydrates(g)'].sum(),
+            lunch_df['Fats (g)'].sum()
+        ]
+        dinner_nutrients = [
+            dinner_df['Protein (g)'].sum(),
+            dinner_df['Carbohydrates(g)'].sum(),
+            dinner_df['Fats (g)'].sum()
+        ]
+        fig_nutrient = go.Figure(data=[
+            go.Bar(name='Breakfast', x=nutrient_labels, y=breakfast_nutrients),
+            go.Bar(name='Lunch', x=nutrient_labels, y=lunch_nutrients),
+            go.Bar(name='Dinner', x=nutrient_labels, y=dinner_nutrients)
+        ])
+        fig_nutrient.update_layout(barmode='group', title='Nutrient Distribution Across Meals',
+                                   xaxis_title='Nutrients', yaxis_title='Quantity (g)')
+        nutrient_chart = fig_nutrient.to_html(full_html=False)
+
+        # Convert dataframes to dictionary records for easy templating
+        breakfast_records = breakfast_df.to_dict(orient='records')
+        lunch_records = lunch_df.to_dict(orient='records')
+        dinner_records = dinner_df.to_dict(orient='records')
+
+        results = {
+            'bmi': round(bmi, 2),
+            'body_category': diet_category_map[predicted_category],
+            'initial_calorie_intake': round(initial_calorie_intake, 2),
+            'new_calorie_intake': round(new_calorie_intake, 2),
+            'age': user_age,
+            'breakfast': breakfast_records,
+            'breakfast_total_calories': breakfast_df['Calories (kcal)'].sum(),
+            'breakfast_total_protein': breakfast_df['Protein (g)'].sum(),
+            'breakfast_total_carbs': breakfast_df['Carbohydrates(g)'].sum(),
+            'breakfast_total_fats': breakfast_df['Fats (g)'].sum(),
+            'lunch': lunch_records,
+            'lunch_total_calories': lunch_df['Calories (kcal)'].sum(),
+            'lunch_total_protein': lunch_df['Protein (g)'].sum(),
+            'lunch_total_carbs': lunch_df['Carbohydrates(g)'].sum(),
+            'lunch_total_fats': lunch_df['Fats (g)'].sum(),
+            'dinner': dinner_records,
+            'dinner_total_calories': dinner_df['Calories (kcal)'].sum(),
+            'dinner_total_protein': dinner_df['Protein (g)'].sum(),
+            'dinner_total_carbs': dinner_df['Carbohydrates(g)'].sum(),
+            'dinner_total_fats': dinner_df['Fats (g)'].sum(),
+            'calorie_chart': calorie_chart,
+            'nutrient_chart': nutrient_chart
+        }
+
+    return render_template("index.html", results=results)
+
+
+if __name__ == '__main__':
+    app.run(debug=True,port=5265)

edi-4data.csv

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+Food Item,Quantity,Calories (kcal),Protein (g),Carbohydrates(g),Fats (g),Breakfast,Lunch,Dinner,veg/nonveg
+Rajma Chawal,1.0,450.0,22.5,55.0,17.5,0.0,1.0,1.0,1.0
+Butter Chicken,1.0,350.0,22.5,12.5,17.5,0.0,1.0,1.0,0.0
+Dosa,1.0,125.0,3.5,22.5,3.5,1.0,0.0,0.0,1.0
+Paneer Tikka,1.0,175.0,12.5,3.5,12.5,0.0,1.0,1.0,1.0
+Samosa,1.0,175.0,7.5,17.5,12.5,1.0,0.0,0.0,1.0
+Chole Bhature,1.0,450.0,12.5,55.0,17.5,1.0,0.0,0.0,1.0
+Pani Puri,6.0,175.0,3.5,35.0,7.5,1.0,0.0,0.0,1.0
+Idli,2.0,125.0,7.5,22.5,3.5,1.0,0.0,0.0,1.0
+Chicken Tikka,1.0,175.0,22.5,3.5,7.5,0.0,1.0,1.0,0.0
+Gulab Jamun,2.0,225.0,7.5,35.0,12.5,0.0,0.0,1.0,1.0
+Prawn Curry,1.0,225.0,17.5,7.5,12.5,0.0,1.0,1.0,0.0
+Masala Dosa,1.0,225.0,7.5,45.0,7.5,1.0,0.0,0.0,1.0
+Chicken Biryani,1.0,450.0,22.5,55.0,17.5,0.0,1.0,1.0,0.0
+Pav Bhaji,1.0,350.0,12.5,55.0,12.5,1.0,0.0,0.0,1.0
+Malai Kofta,1.0,225.0,7.5,22.5,12.5,0.0,1.0,1.0,1.0
+Rasgulla,1.0,125.0,3.5,22.5,3.5,0.0,0.0,1.0,1.0
+Tandoori Roti,3.0,350.0,5.0,45.0,5.0,0.0,1.0,1.0,1.0
+Chicken Curry,1.0,350.0,22.5,12.5,17.5,0.0,1.0,1.0,0.0
+Masala Papad,1.0,60.0,3.5,7.5,3.5,0.0,1.0,1.0,1.0
+Aloo Paratha,1.0,225.0,7.5,35.0,12.5,1.0,1.0,0.0,1.0
+Vegetable Biryani,1.0,350.0,12.5,45.0,12.5,0.0,1.0,1.0,1.0
+Prawn Fry,1.0,225.0,17.5,7.5,12.5,0.0,1.0,1.0,0.0
+Rasmalai,1.0,125.0,7.5,17.5,7.5,0.0,0.0,1.0,1.0
+Gobi Manchurian,1.0,225.0,7.5,22.5,12.5,1.0,0.0,0.0,1.0
+Chicken Korma,1.0,350.0,22.5,7.5,17.5,0.0,1.0,1.0,0.0
+Onion Pakoda,1.0,225.0,7.5,22.5,12.5,1.0,0.0,0.0,1.0
+Pesarattu,1.0,175.0,7.5,35.0,3.5,1.0,0.0,0.0,1.0
+Chicken 65,1.0,225.0,17.5,3.5,12.5,1.0,0.0,0.0,0.0
+Mysore Pak,1.0,125.0,3.5,22.5,7.5,0.0,1.0,1.0,1.0
+Roti,3.0,245.0,5.0,27.5,5.0,0.0,1.0,1.0,1.0
+Palak Paneer,1.0,225.0,12.5,12.5,12.5,0.0,1.0,1.0,1.0
+Chicken Fried Rice,1.0,350.0,22.5,35.0,12.5,0.0,1.0,1.0,0.0
+Aloo Tikki,1.0,60.0,3.5,12.5,3.5,1.0,0.0,0.0,1.0
+Mutton Biryani,1.0,450.0,22.5,55.0,17.5,0.0,1.0,1.0,0.0
+Chicken Shawarma,1.0,350.0,22.5,35.0,17.5,0.0,0.0,1.0,0.0
+Ghee Rice,1.0,350.0,3.5,55.0,12.5,0.0,1.0,1.0,1.0
+Veg Pulao,1.0,225.0,7.5,45.0,7.5,0.0,1.0,1.0,1.0
+Chicken Lollipop,1.0,225.0,17.5,3.5,12.5,1.0,0.0,0.0,0.0
+Mutton Curry,1.0,350.0,17.5,12.5,17.5,0.0,1.0,1.0,0.0
+Veg Manchurian,1.0,225.0,7.5,22.5,12.5,1.0,0.0,0.0,1.0
+Chicken Kebab,1.0,125.0,12.5,3.5,7.5,1.0,1.0,0.0,0.0
+Medu Vada,1.0,90.0,3.5,12.5,7.5,1.0,0.0,0.0,1.0
+Bhindi Masala,1.0,125.0,7.5,12.5,7.5,0.0,1.0,1.0,1.0
+Veg Fried Rice,1.0,225.0,7.5,35.0,7.5,0.0,1.0,1.0,1.0
+Prawn Masala,1.0,225.0,17.5,7.5,12.5,0.0,1.0,1.0,0.0
+Gajar Halwa,1.0,225.0,7.5,45.0,7.5,0.0,1.0,0.0,1.0
+Tomato Rice,1.0,225.0,7.5,45.0,7.5,0.0,1.0,1.0,1.0
+Mango,1.0,150.0,1.0,40.0,0.6,1.0,1.0,1.0,1.0
+Apple,1.0,95.0,0.5,25.0,0.4,1.0,1.0,1.0,1.0
+Banana,1.0,105.0,1.3,27.0,0.4,1.0,1.0,1.0,1.0
+Orange,1.0,62.0,1.2,15.0,0.2,1.0,1.0,1.0,1.0
+Grapes,1.0,62.0,0.6,16.0,0.2,1.0,1.0,1.0,1.0
+Watermelon,1.0,46.0,0.9,11.0,0.2,1.0,1.0,1.0,1.0
+Pineapple,1.0,82.0,0.9,22.0,0.2,1.0,1.0,1.0,1.0
+Pomegranate,1.0,83.0,1.7,18.0,1.2,1.0,1.0,1.0,1.0
+Papaya,1.0,55.0,0.5,14.0,0.3,1.0,1.0,1.0,1.0
+Strawberry,1.0,50.0,1.0,11.0,0.5,1.0,1.0,1.0,1.0
+Rice (cooked),1.0,205.0,4.3,45.0,0.4,0.0,1.0,1.0,1.0
+Wheat Roti,3.0,300.0,4.0,45.0,3.0,0.0,1.0,1.0,1.0
+Brown Rice,1.0,216.0,5.0,45.0,1.8,0.0,1.0,1.0,1.0
+Oats,1.0,147.0,5.9,27.0,2.5,1.0,0.0,0.0,1.0
+Fried Soyabeans,1.0,200.0,5.0,19.0,2.6,1.0,1.0,0.0,1.0
+Rava Upma,1.0,180.0,4.0,32.0,4.0,1.0,0.0,0.0,1.0
+Poha,1.0,270.0,6.0,52.0,3.0,1.0,0.0,0.0,1.0
+Uttapam,1.0,200.0,4.0,30.0,6.0,1.0,0.0,0.0,1.0
+Sambar,1.0,110.0,3.0,20.0,2.0,0.0,1.0,1.0,1.0
+Rasam,1.0,75.0,2.0,15.0,1.0,0.0,1.0,1.0,1.0
+Vada,1.0,125.0,4.0,20.0,4.0,1.0,0.0,0.0,1.0
+Rava Dosa,1.0,160.0,4.0,24.0,6.0,1.0,0.0,0.0,1.0
+Biryani,1.0,250.0,6.0,35.0,10.0,0.0,1.0,1.0,0.0
+Chicken Tikka Masala,1.0,330.0,20.0,12.0,23.0,0.0,1.0,1.0,0.0
+Bhel Puri,1.0,285.0,5.0,40.0,12.0,1.0,0.0,0.0,1.0
+Jalebi,1.0,150.0,2.0,30.0,5.0,0.0,1.0,1.0,1.0
+Lassi,1.0,150.0,6.0,20.0,4.0,1.0,1.0,1.0,1.0
+Masala Chai,1.0,150.0,2.0,12.0,9.0,1.0,0.0,0.0,1.0
+Filter Coffee,1.0,80.0,1.0,14.0,1.0,1.0,0.0,0.0,1.0
+Coconut Chutney,2.0,60.0,0.6,4.0,5.5,1.0,1.0,1.0,1.0
+Tomato Chutney,2.0,40.0,0.8,9.0,0.4,1.0,1.0,1.0,1.0
+Tamarind Chutney,2.0,80.0,0.5,20.0,0.5,1.0,1.0,1.0,1.0
+Raita,1.0,70.0,3.0,6.0,3.0,0.0,1.0,1.0,1.0
+Upma,1.0,220.0,4.0,38.0,6.0,1.0,0.0,0.0,1.0
+Lemon Rice,1.0,200.0,4.0,40.0,4.0,0.0,0.0,1.0,1.0
+Lemon Pickle,1.0,50.0,0.5,10.0,1.0,0.0,1.0,1.0,1.0
+Mango Pickle,1.0,25.0,0.3,6.0,0.2,0.0,1.0,1.0,1.0
+Tamarind Rice,1.0,400.0,7.0,80.0,8.0,0.0,1.0,1.0,1.0
+Curd Rice,1.0,180.0,3.0,30.0,5.0,0.0,1.0,1.0,1.0
+Kesar Pista Kulfi,1.0,225.0,6.5,22.5,12.5,0.0,0.0,1.0,1.0
+Baingan Bharta,1.0,175.0,5.0,17.5,12.5,0.0,1.0,1.0,1.0
+Dhokla,2.0,175.0,7.0,22.5,6.5,1.0,0.0,0.0,1.0
+Aloo Gobi,1.0,175.0,5.0,17.5,11.0,0.0,1.0,1.0,1.0
+Kofta Curry,1.0,275.0,12.5,22.5,17.5,0.0,1.0,1.0,1.0
+Paneer Bhurji,1.0,225.0,12.5,12.5,17.5,1.0,1.0,1.0,1.0
+Besan Chilla,2.0,175.0,9.0,22.5,6.5,1.0,0.0,0.0,1.0
+Sabudana Khichdi,1.0,225.0,3.0,45.0,12.5,1.0,0.0,0.0,1.0
+Methi Thepla,2.0,175.0,6.5,22.5,6.5,1.0,0.0,0.0,1.0
+Kadhi Pakora,1.0,225.0,7.0,22.5,12.5,0.0,1.0,1.0,1.0
+Aloo Methi,1.0,175.0,4.0,17.5,11.0,0.0,1.0,1.0,1.0
+Rajma,1.0,225.0,9.0,32.5,6.5,0.0,1.0,1.0,1.0
+Bhindi Fry,1.0,175.0,4.0,12.5,11.0,0.0,1.0,1.0,1.0
+Methi Paratha,1.0,175.0,5.0,22.5,6.5,1.0,0.0,0.0,1.0
+Moong Dal Halwa,1.0,325.0,11.0,45.0,12.5,0.0,0.0,1.0,1.0
+Chana Masala,1.0,225.0,12.5,32.5,6.5,0.0,1.0,1.0,1.0
+Gatte ki Sabzi,1.0,225.0,7.0,22.5,11.0,0.0,1.0,1.0,1.0
+Rajasthani Kadi,1.0,175.0,7.0,17.5,9.0,0.0,1.0,1.0,1.0
+Sooji Halwa,1.0,325.0,6.5,55.0,12.5,1.0,0.0,0.0,1.0
+Bisi Bele Bath,1.0,225.0,7.0,45.0,6.5,1.0,1.0,0.0,1.0
+Mysore Bonda,2.0,225.0,6.5,22.5,12.5,1.0,0.0,0.0,1.0
+Veg Hakka Noodles,1.0,325.0,8.5,55.0,12.5,0.0,1.0,1.0,1.0
+Paneer Paratha,1.0,225.0,9.0,32.5,9.0,1.0,1.0,0.0,1.0
+Dal Tadka,1.0,225.0,9.0,27.5,6.5,0.0,1.0,1.0,1.0
+Dum Aloo,1.0,225.0,5.0,22.5,12.5,0.0,1.0,1.0,1.0
+Palak Khichdi,1.0,225.0,7.0,45.0,6.5,1.0,1.0,1.0,1.0
+Nariyal Chutney,2.0,60.0,0.75,3.0,5.0,1.0,1.0,1.0,1.0
+Vermicelli Upma,1.0,175.0,5.0,27.5,6.5,1.0,0.0,0.0,1.0
+Methi Muthia,2.0,175.0,5.0,22.5,6.5,1.0,0.0,0.0,1.0
+Khakra,2.0,125.0,3.0,22.5,3.0,1.0,0.0,0.0,1.0
+Chana Sundal,1.0,175.0,7.0,22.5,6.5,1.0,0.0,0.0,1.0
+Cabbage Sabzi,1.0,125.0,4.0,12.5,6.5,0.0,1.0,1.0,1.0
+Patra,2.0,175.0,5.0,22.5,6.5,1.0,0.0,0.0,1.0
+Bhutte ka Kees,1.0,175.0,5.0,22.5,6.5,1.0,0.0,0.0,1.0
+Aloo Bhindi,1.0,175.0,4.0,17.5,11.0,0.0,1.0,1.0,1.0
+Lauki Kofta,1.0,225.0,7.0,22.5,11.0,0.0,1.0,1.0,1.0
+Dal Baati,1.0,225.0,7.0,27.5,11.0,0.0,1.0,1.0,1.0
+Puran Poli,1.0,225.0,7.0,32.5,6.5,1.0,1.0,0.0,1.0
+Sarson ka Saag,1.0,175.0,5.0,12.5,11.0,0.0,1.0,1.0,1.0
+Makki di Roti,1.0,175.0,4.0,22.5,6.5,1.0,1.0,0.0,1.0
+Nargisi Kofta,1.0,275.0,12.5,22.5,17.5,0.0,1.0,1.0,1.0
+Pesarattu Upma,1.0,175.0,7.0,27.5,6.5,1.0,0.0,0.0,1.0
+Chilli Paneer,1.0,225.0,12.5,17.5,12.5,0.0,1.0,1.0,1.0
+Sindhi Kadhi,1.0,175.0,5.0,17.5,9.0,0.0,1.0,1.0,1.0
+Shahi Paneer,1.0,325.0,12.5,22.5,22.5,0.0,1.0,1.0,1.0
+Aloo Posto,1.0,225.0,6.5,22.5,12.5,0.0,1.0,1.0,1.0
+Misal Pav,1.0,325.0,12.5,45.0,12.5,1.0,0.0,0.0,1.0
+Kothimbir Vadi,2.0,175.0,6.5,22.5,6.5,1.0,0.0,0.0,1.0
+Dabeli,1.0,275.0,7.0,45.0,12.5,1.0,0.0,0.0,1.0
+Patra Ni Machhi,1.0,225.0,17.5,6.5,12.5,0.0,1.0,1.0,1.0
+Veg Kolhapuri,1.0,225.0,7.0,17.5,12.5,0.0,1.0,1.0,1.0
+Kaju Katli,2.0,175.0,4.0,17.5,9.0,0.0,0.0,1.0,1.0
+Kharvas,1.0,125.0,6.5,12.5,6.5,0.0,0.0,1.0,1.0
+Sheera,1.0,225.0,5.0,32.5,9.0,1.0,0.0,0.0,1.0
+Pineapple Sheera,1.0,225.0,5.0,32.5,9.0,1.0,0.0,0.0,1.0
+Kesari Bhaat,1.0,225.0,5.0,42.5,6.5,1.0,0.0,0.0,1.0
+Kharbooja Halwa,1.0,275.0,5.0,45.0,11.0,0.0,0.0,1.0,1.0
+Meetha Daliya,1.0,175.0,5.0,27.5,6.5,1.0,0.0,0.0,1.0
+Lauki Halwa,1.0,225.0,6.5,32.5,6.5,0.0,0.0,1.0,1.0
+Jowar Roti,2.0,225.0,7.0,32.5,5.0,0.0,1.0,1.0,1.0
+Barley Khichdi,1.0,225.0,7.0,42.5,6.5,1.0,1.0,1.0,1.0
+Gehun Ki Bikaneri Khichdi,1.0,225.0,7.0,42.5,6.5,1.0,1.0,1.0,1.0
+Bajra Khichdi,1.0,225.0,7.0,42.5,6.5,1.0,1.0,1.0,1.0
+Chawal Ki Kheer,1.0,225.0,7.0,42.5,6.5,0.0,0.0,1.0,1.0
+Sabudana Kheer,1.0,225.0,5.0,32.5,6.5,1.0,0.0,0.0,1.0
+Makhana Kheer,1.0,225.0,6.5,27.5,9.0,0.0,0.0,1.0,1.0
+Panchamrut,1.0,225.0,6.5,22.5,11.0,0.0,1.0,1.0,1.0
+Aloo Jeera,1.0,175.0,4.0,17.5,11.0,0.0,1.0,1.0,1.0
+Lauki Chana Dal,1.0,225.0,9.0,27.5,6.5,0.0,1.0,1.0,1.0
+Chana Dal Halwa,1.0,325.0,11.0,45.0,12.5,0.0,0.0,1.0,1.0
+Ginger Tea,1.0,60.0,0.75,11.0,0.75,1.0,0.0,0.0,1.0
+Tulsi Tea,1.0,60.0,0.75,11.0,0.75,1.0,0.0,0.0,1.0
+Masala Oats,1.0,175.0,5.0,27.5,6.5,1.0,0.0,0.0,1.0
+Rajma Galouti Kebab,1.0,175.0,6.5,22.5,6.5,1.0,1.0,0.0,1.0
+Sprouts Salad,1.0,125.0,7.0,17.5,3.0,1.0,1.0,1.0,1.0
+Dahi Bhalla,1.0,225.0,7.0,22.5,9.0,1.0,0.0,0.0,1.0
+Moong Dal Cheela,2.0,175.0,9.0,22.5,6.5,1.0,0.0,0.0,1.0
+Aloo Tikki Chaat,1.0,275.0,7.0,32.5,12.5,1.0,0.0,0.0,1.0
+Batata Vada,2.0,225.0,5.0,32.5,12.5,1.0,0.0,0.0,1.0
+Sev Puri,1.0,225.0,5.0,27.5,11.0,1.0,0.0,0.0,1.0
+Chole Kulche,1.0,325.0,11.0,45.0,12.5,1.0,0.0,0.0,1.0
+Ragda Pattice,1.0,325.0,9.0,45.0,12.5,1.0,0.0,0.0,1.0
+Veg Frankie,1.0,275.0,7.0,45.0,11.0,1.0,0.0,0.0,1.0
+Baida Roti,1.0,225.0,9.0,27.5,11.0,1.0,0.0,0.0,1.0
+Mutton Rogan Josh,1.0,325.0,22.5,12.5,22.5,0.0,1.0,1.0,0.0
+Shami Kebab,1.0,175.0,11.0,6.5,11.0,0.0,1.0,1.0,0.0
+Nihari,1.0,325.0,22.5,12.5,22.5,0.0,1.0,1.0,0.0
+Paya Soup,1.0,225.0,17.5,6.5,11.0,0.0,1.0,1.0,0.0
+Chicken Rezala,1.0,325.0,22.5,12.5,22.5,0.0,1.0,1.0,0.0
+Keema Paratha,1.0,275.0,17.5,27.5,12.5,1.0,1.0,0.0,0.0
+Egg Bhurji,1.0,225.0,11.0,12.5,17.5,0.0,1.0,1.0,0.0
+Karela Sabzi,1.0,125.0,6.5,12.5,6.5,0.0,1.0,1.0,1.0
+Kaddu Ki Sabzi,1.0,125.0,4.0,17.5,6.5,0.0,1.0,1.0,1.0
+Sarson Ka Saag,1.0,175.0,7.0,12.5,11.0,0.0,1.0,1.0,1.0
+Makki Ki Roti,2.0,225.0,7.0,32.5,6.5,0.0,1.0,1.0,1.0
+Gatte Ki Sabzi,1.0,225.0,7.0,22.5,11.0,0.0,1.0,1.0,1.0
+Dahi Ke Kebab,2.0,225.0,9.0,17.5,11.0,1.0,0.0,0.0,0.0
+Bharwa Baingan,1.0,175.0,6.5,12.5,11.0,0.0,1.0,1.0,1.0
+Palak Poori,2.0,225.0,6.5,27.5,11.0,1.0,0.0,0.0,1.0
+Mathri,2.0,175.0,4.0,22.5,9.0,1.0,0.0,0.0,1.0
+Namak Pare,10.0,175.0,4.0,22.5,9.0,1.0,0.0,0.0,1.0
+Chakli,2.0,225.0,7.0,22.5,11.0,1.0,0.0,0.0,1.0
+Methi Malai Paneer,1.0,325.0,11.0,12.5,22.5,0.0,1.0,1.0,1.0
+Mushroom Matar,1.0,175.0,6.5,12.5,11.0,0.0,1.0,1.0,1.0
+Corn Pakoda,4.0,225.0,7.0,22.5,11.0,1.0,0.0,0.0,1.0
+Paneer Pakoda,2.0,225.0,11.0,17.5,11.0,1.0,0.0,0.0,1.0
+Banana Chips,1.0,175.0,2.5,22.5,9.0,1.0,0.0,0.0,1.0
+Rajma Kebabs,2.0,225.0,9.0,22.5,11.0,1.0,0.0,0.0,1.0
+Chickpea Sundal,1.0,175.0,9.0,22.5,6.5,1.0,0.0,0.0,0.0
+Neer Dosa,2.0,175.0,4.0,22.5,6.5,1.0,0.0,0.0,1.0
+Sabudana Thalipeeth,2.0,225.0,5.0,32.5,9.0,1.0,0.0,0.0,1.0
+Jowar Upma,1.0,175.0,5.0,32.5,6.5,1.0,0.0,0.0,1.0
+Green Pea Upma,1.0,175.0,5.0,32.5,6.5,1.0,0.0,0.0,1.0
+Achari Paneer,1.0,225.0,11.0,12.5,17.5,0.0,1.0,1.0,1.0
+Murgh Musallam,1.0,325.0,22.5,12.5,22.5,0.0,1.0,1.0,0.0
+Mutton Kheema,1.0,325.0,22.5,12.5,22.5,0.0,1.0,1.0,0.0
+Methi Murg,1.0,275.0,17.5,12.5,17.5,0.0,1.0,1.0,0.0
+Baida Paratha,1.0,225.0,11.0,27.5,11.0,1.0,1.0,0.0,1.0
+Masala Khichdi,1.0,225.0,7.0,37.5,6.5,1.0,1.0,1.0,1.0
+Keema Pav,1.0,325.0,22.5,32.5,17.5,0.0,1.0,1.0,0.0
+Papdi Chaat,1.0,275.0,7.0,32.5,11.0,1.0,0.0,0.0,1.0
+Palak Pakoda,4.0,225.0,7.0,22.5,11.0,1.0,0.0,0.0,1.0
+Aloo Chaat,1.0,225.0,5.0,32.5,9.0,1.0,0.0,0.0,1.0
+Sooji Toast,2.0,175.0,6.5,22.5,6.5,1.0,0.0,0.0,1.0
+Rava Idli,2.0,175.0,7.0,22.5,6.5,1.0,0.0,0.0,1.0
+Kuttu Ke Pakode,4.0,225.0,7.0,22.5,11.0,1.0,0.0,0.0,1.0
+Tamatar Kadhi,1.0,175.0,6.5,22.5,9.0,1.0,0.0,0.0,1.0
+Kaddu Ka Halwa,1.0,225.0,6.5,32.5,9.0,0.0,0.0,1.0,1.0
+Nariyal Barfi,2.0,175.0,4.0,22.5,9.0,0.0,0.0,1.0,1.0
+Aam Ras,1.0,175.0,2.5,32.5,6.5,0.0,1.0,1.0,1.0
+Sprout Salad,1.0,175.0,2.0,18.0,5.0,1.0,1.0,0.0,1.0
+Chana Chaat,1.0,225.0,7.0,38.0,6.0,0.0,1.0,0.0,1.0
+Quinoa Salad,1.0,225.0,7.0,32.0,8.0,1.0,1.0,0.0,1.0
+Vegetable Soup,1.0,125.0,4.0,15.0,3.0,0.0,1.0,1.0,1.0
+Beetroot Salad,1.0,125.0,2.0,10.0,0.0,0.0,1.0,0.0,1.0
+Carrot-Apple Salad,1.0,175.0,1.0,14.0,0.0,1.0,0.0,0.0,1.0
+Mixed Veg Raita,1.0,125.0,6.0,9.0,8.0,1.0,1.0,1.0,1.0
+Moong Dal Chilla,2.0,175.0,8.0,18.0,3.0,1.0,0.0,0.0,1.0
+Spinach Bhaji,1.0,175.0,5.0,9.0,6.0,0.0,1.0,1.0,1.0
+Lauki Sabzi,1.0,125.0,3.0,9.0,6.0,0.0,1.0,1.0,1.0
+Kala Chana,1.0,225.0,9.0,27.0,3.0,0.0,1.0,1.0,1.0
+Aloo Matar,1.0,225.0,6.0,24.0,6.0,0.0,1.0,1.0,1.0
+Tinda Sabzi,1.0,125.0,2.0,7.0,6.0,0.0,1.0,1.0,1.0
+Beetroot Sabzi,1.0,175.0,2.0,10.0,6.0,0.0,1.0,1.0,1.0
+Mixed Veg Curry,1.0,225.0,3.0,12.0,8.0,0.0,1.0,1.0,1.0
+Pumpkin Soup,1.0,125.0,1.0,7.0,2.0,0.0,1.0,1.0,1.0
+Tofu Stir Fry,1.0,225.0,11.0,9.0,15.0,0.0,1.0,1.0,1.0
+Carrot Soup,1.0,125.0,1.0,7.0,2.0,0.0,1.0,1.0,1.0
+Sprouted Moong Dal Salad,1.0,175.0,6.0,20.0,2.0,1.0,1.0,0.0,1.0
+Tomato Soup,1.0,125.0,2.0,10.0,2.0,0.0,1.0,1.0,1.0
+Corn Salad,1.0,175.0,4.0,17.0,2.0,1.0,1.0,0.0,1.0
+Radish Salad,1.0,125.0,3.0,7.0,1.0,1.0,1.0,0.0,1.0
+Moong Dal Tikki,2.0,175.0,6.0,18.0,4.0,1.0,1.0,0.0,1.0
+Stuffed Capsicum,2.0,225.0,5.0,12.0,7.0,0.0,1.0,1.0,1.0
+Spinach Soup,1.0,125.0,3.0,9.0,2.0,0.0,1.0,1.0,1.0
+Fruit Salad,1.0,175.0,1.0,20.0,0.0,1.0,0.0,0.0,1.0
+Oats Upma,1.0,175.0,7.0,28.0,5.0,1.0,0.0,0.0,1.0
+Cucumber Salad,1.0,125.0,1.0,8.0,0.0,1.0,1.0,0.0,1.0
+Mixed Bean Salad,1.0,225.0,7.0,20.0,3.0,1.0,1.0,0.0,1.0
+Masoor Dal,1.0,225.0,9.0,20.0,1.0,0.0,1.0,1.0,1.0
+Sprouted Chana Salad,1.0,175.0,6.0,21.0,1.0,1.0,1.0,0.0,1.0
+Sweet Potato Chaat,1.0,225.0,3.0,14.0,5.0,1.0,0.0,0.0,1.0
+Masoor Usal,1.0,225.0,23.0,7.0,13.0,0.0,1.0,1.0,1.0
+Hare Chane ki Chaat,1.0,175.0,18.0,5.0,13.0,1.0,0.0,0.0,1.0
+Gajar Methi Subzi,1.0,175.0,23.0,7.0,7.0,0.0,1.0,1.0,1.0
+Tindora Fry,1.0,125.0,28.0,9.0,4.0,0.0,1.0,1.0,1.0
+Moong Dal Soup,1.0,125.0,23.0,13.0,18.0,1.0,0.0,0.0,1.0
+Soybean Tikki,2.0,175.0,13.0,13.0,18.0,1.0,0.0,0.0,1.0
+Ragi Mudde,2.0,225.0,23.0,9.0,7.0,1.0,1.0,0.0,1.0
+Bhindi Do Pyaza,1.0,175.0,45.0,3.0,13.0,0.0,1.0,1.0,1.0
+Sprouted Moong Curry,1.0,225.0,23.0,7.0,7.0,0.0,1.0,1.0,1.0
+Masala Chaas,1.0,60.0,23.0,7.0,13.0,1.0,0.0,0.0,1.0
+Amla Juice,1.0,70.0,18.0,4.0,11.0,1.0,0.0,0.0,1.0
+Jamun Juice,1.0,80.0,33.0,9.0,7.0,1.0,0.0,0.0,1.0
+Aloe Vera Juice,1.0,60.0,13.0,4.0,11.0,1.0,0.0,0.0,1.0
+Kokum Sherbet,1.0,110.0,23.0,5.0,7.0,1.0,0.0,0.0,1.0
+Guava Salad,1.0,125.0,28.0,14.0,9.0,1.0,0.0,0.0,1.0
+Bottle Gourd Juice,1.0,90.0,23.0,8.0,7.0,1.0,0.0,0.0,1.0
+Sugarcane Juice,1.0,175.0,18.0,7.0,11.0,1.0,0.0,0.0,1.0
+Amaranth Stir-fry,1.0,175.0,33.0,5.0,9.0,0.0,1.0,1.0,1.0
+Baingan Masala,1.0,175.0,28.0,6.0,13.0,0.0,1.0,1.0,1.0
+Rajgira Puri,2.0,225.0,23.0,5.0,13.0,1.0,0.0,0.0,1.0
+Bajra Roti,2.0,175.0,13.0,5.0,7.0,1.0,1.0,1.0,1.0
+Green Pea Salad,1.0,125.0,45.0,4.0,13.0,1.0,0.0,0.0,1.0
+Mixed Sprouts Usal,1.0,225.0,33.0,6.0,11.0,0.0,1.0,1.0,1.0
+Pomegranate Raita,1.0,125.0,13.0,9.0,4.0,1.0,0.0,0.0,1.0
+Beetroot Thoran,1.0,125.0,38.0,7.0,11.0,0.0,1.0,1.0,1.0
+Cabbage Kootu,1.0,175.0,8.0,1.0,11.0,0.0,1.0,1.0,1.0
+Vegetable Clear Soup,1.0,90.0,13.0,6.0,9.0,0.0,1.0,0.0,1.0
+Masoor Dal Salad,1.0,225.0,13.0,4.0,11.0,1.0,0.0,0.0,1.0
+Sprouted Moong Salad,1.0,175.0,8.0,6.0,7.0,1.0,0.0,0.0,1.0
+Sprouted Moong Chilla,2.0,175.0,23.0,6.0,7.0,1.0,0.0,0.0,1.0
+Mango Lassi,1.0,225.0,8.0,2.0,1.0,1.0,0.0,0.0,1.0
+Strawberry Smoothie,1.0,175.0,18.0,2.0,1.0,1.0,0.0,0.0,1.0
+Cucumber Raita,1.0,125.0,18.0,2.0,1.0,1.0,0.0,0.0,1.0
+Dal Dhokli,1.0,275.0,7.5,27.5,12.5,0.0,1.0,1.0,1.0
+Appe,4.0,175.0,6.0,27.5,6.5,1.0,0.0,0.0,1.0
+Zunka Bhakri,1.0,225.0,9.0,32.5,9.0,0.0,1.0,1.0,1.0
+Thecha with Bhakri,1.0,175.0,6.0,27.5,9.0,0.0,1.0,1.0,1.0
+Bhakri with Methi Pithla,1.0,225.0,9.0,22.5,11.0,0.0,1.0,1.0,1.0
+Aliv Ladoo,2.0,225.0,5.5,27.5,11.0,0.0,0.0,1.0,1.0
+Sol Kadhi,1.0,60.0,1.5,6.5,3.0,1.0,0.0,0.0,1.0
+Pithla Bhakri,1.0,275.0,9.0,32.5,6.5,0.0,1.0,1.0,1.0
+Bharli Vangi,1.0,175.0,5.5,12.5,3.0,0.0,1.0,1.0,1.0
+Vaangi Bhaat,1.0,275.0,6.0,32.5,6.5,0.0,1.0,1.0,1.0
+Thalipeeth,2.0,225.0,5.5,27.5,6.5,1.0,0.0,0.0,1.0
+Patodi Rassa,1.0,225.0,5.5,27.5,6.5,0.0,1.0,1.0,1.0
+Amboli,2.0,175.0,6.0,17.5,6.5,1.0,0.0,0.0,1.0
+Tomato Saar,1.0,90.0,1.5,12.5,5.5,0.0,1.0,1.0,1.0
+Shev Bhaji,1.0,225.0,8.5,15.0,4.0,0.0,1.0,1.0,1.0
+Batata Bhaji,1.0,175.0,5.0,27.5,6.5,0.0,1.0,1.0,1.0
+Sukka Mutton,1.0,275.0,10.0,35.0,12.5,0.0,1.0,1.0,0.0
+Kadhi Khichdi,1.0,225.0,4.5,32.5,6.5,0.0,1.0,1.0,1.0
+Undhiyu,1.0,225.0,3.5,32.5,6.5,0.0,1.0,1.0,1.0
+Handvo,2.0,175.0,12.0,27.5,9.0,1.0,0.0,0.0,1.0
+Ghavan,2.0,175.0,7.5,32.5,9.0,1.0,0.0,0.0,1.0
+Green Pea Thepla,2.0,175.0,6.0,37.5,9.0,1.0,0.0,0.0,1.0
+Lapsi,1.0,175.0,7.0,37.5,9.0,1.0,0.0,0.0,1.0
+Chana Dal Pancakes,2.0,225.0,7.5,32.5,9.0,1.0,0.0,0.0,1.0
+Palak Moong Dal,1.0,175.0,7.5,32.5,9.0,0.0,1.0,1.0,1.0
+Corn Kheer,1.0,225.0,7.0,27.5,9.0,0.0,0.0,1.0,1.0
+Varan Bhaat,1.0,275.0,6.0,32.5,9.0,0.0,1.0,1.0,1.0
+Amaranth Roti,2.0,175.0,5.0,32.5,9.0,1.0,1.0,1.0,1.0
+Pumpkin Paratha,2.0,225.0,5.0,32.5,9.0,1.0,0.0,0.0,1.0
+Kokum Kadhi,1.0,60.0,4.5,32.5,6.5,1.0,0.0,0.0,1.0
+Kothimbir Roti,2.0,175.0,6.0,27.5,9.0,1.0,0.0,0.0,1.0
+Avocado Salad,1.0,175.0,5.5,32.5,9.0,1.0,0.0,0.0,1.0
+Quinoa Upma,1.0,225.0,10.0,37.5,12.0,1.0,0.0,0.0,1.0
+Tofu Stir-Fry,1.0,175.0,8.0,37.5,12.5,1.0,1.0,1.0,1.0
+Chickpea Salad,1.0,225.0,9.0,32.5,9.0,1.0,0.0,0.0,0.0
+Hummus with Veggies,1.0,225.0,9.0,32.5,9.0,1.0,0.0,0.0,1.0
+Falafel Wrap,1.0,275.0,11.0,27.5,9.0,1.0,0.0,0.0,1.0
+Lentil Soup,1.0,175.0,9.0,32.5,6.5,1.0,0.0,0.0,1.0
+Greek Yogurt with Berries,1.0,175.0,6.0,37.5,12.5,1.0,0.0,0.0,1.0
+Buddha Bowl,1.0,275.0,10.0,35.0,12.5,1.0,0.0,0.0,1.0
+Avocado Toast,2.0,225.0,8.0,37.5,12.5,1.0,0.0,0.0,1.0
+Mushroom Masala,1.0,225.0,5.0,7.0,4.0,0.0,1.0,1.0,1.0
+Gawar Phali Ki Sabzi,1.0,175.0,4.0,9.0,5.0,0.0,1.0,1.0,1.0
+Pattagobhi Matar,1.0,225.0,5.0,11.0,3.0,0.0,1.0,1.0,1.0
+Shenga Sukka,1.0,175.0,6.0,7.0,5.0,0.0,1.0,1.0,1.0
+Kathal Ki Sabzi,1.0,225.0,4.0,18.0,9.0,0.0,1.0,1.0,1.0
+Gavarfali Masala,1.0,225.0,7.0,14.0,4.0,0.0,1.0,1.0,1.0
+Pumpkin Erissery,1.0,275.0,8.0,23.0,11.0,0.0,1.0,0.0,1.0
+Amla Chutney,1.0,60.0,2.0,3.0,1.0,1.0,0.0,0.0,1.0
+Karela Masala,1.0,175.0,4.0,5.0,5.0,0.0,1.0,1.0,1.0
+Kala Chana Curry,1.0,225.0,11.0,28.0,7.0,0.0,1.0,1.0,1.0
+Drumstick Sambar,1.0,225.0,9.0,18.0,6.0,0.0,1.0,1.0,1.0
+Ratalu Nu Shaak,1.0,225.0,7.0,23.0,11.0,0.0,1.0,1.0,1.0
+Tinda Masala,1.0,175.0,5.0,14.0,7.0,0.0,1.0,1.0,1.0
+Bhutte Ka Kees,1.0,175.0,7.0,18.0,5.0,1.0,0.0,0.0,1.0
+Palak Corn,1.0,175.0,6.0,13.0,4.0,0.0,1.0,1.0,1.0
+Kachri Ki Sabzi,1.0,175.0,7.0,9.0,5.0,0.0,1.0,0.0,1.0
+Lauki Kofta Curry,1.0,225.0,9.0,14.0,7.0,0.0,1.0,1.0,1.0
+Fish Curry,1.0,200.0,20.0,5.0,8.0,0.0,1.0,1.0,0.0
+Chicken Chettinad,1.0,250.0,22.0,7.0,12.0,0.0,1.0,1.0,0.0
+Fish Moilee,1.0,200.0,19.0,4.0,9.0,0.0,1.0,1.0,0.0
+Prawn Balchao,1.0,225.0,21.0,6.0,10.0,0.0,1.0,1.0,0.0
+Mutton Keema,1.0,250.0,20.0,8.0,14.0,0.0,1.0,1.0,0.0
+Chicken Sukka,1.0,250.0,22.0,6.0,12.0,0.0,1.0,1.0,0.0
+Fish Amritsari,1.0,225.0,20.0,5.0,11.0,0.0,1.0,1.0,0.0
+Prawn Malai Curry,1.0,250.0,22.0,8.0,12.0,0.0,1.0,1.0,0.0
+Mutton Do Pyaza,1.0,275.0,19.0,10.0,17.0,0.0,1.0,1.0,0.0
+Chicken Vindaloo,1.0,250.0,22.0,8.0,12.0,0.0,1.0,1.0,0.0
+Fish Tikka,1.0,225.0,21.0,5.0,10.0,0.0,1.0,1.0,0.0
+Prawn Gassi,1.0,250.0,22.0,7.0,11.0,0.0,1.0,1.0,0.0
+Chicken Xacuti,1.0,250.0,22.0,8.0,13.0,0.0,1.0,1.0,0.0
+Fish Curry Rice,1.0,250.0,19.0,25.0,8.0,0.0,1.0,1.0,0.0
+Prawn Biryani,1.0,300.0,21.0,40.0,12.0,0.0,1.0,1.0,0.0
+Chicken Stew,1.0,225.0,21.0,6.0,8.0,0.0,1.0,1.0,0.0
+Fish Fry,1.0,225.0,20.0,6.0,12.0,0.0,1.0,1.0,0.0
+Prawn Fried Rice,1.0,300.0,20.0,40.0,10.0,0.0,1.0,1.0,0.0
+Mutton Korma,1.0,275.0,19.0,10.0,17.0,0.0,1.0,1.0,0.0
+Fish Curry Andhra,1.0,200.0,19.0,5.0,8.0,0.0,1.0,1.0,0.0
+Mutton Saagwala,1.0,275.0,20.0,8.0,18.0,0.0,1.0,1.0,0.0
+Chicken Jalfrezi,1.0,250.0,22.0,7.0,12.0,0.0,1.0,1.0,0.0
+Kadaknath Chicken Curry,1.0,225.0,25.0,6.0,10.0,0.0,1.0,1.0,0.0
+Salmon Tikka,1.0,250.0,23.0,5.0,15.0,0.0,1.0,1.0,0.0
+Quail Fry,1.0,240.0,26.0,4.0,14.0,0.0,1.0,1.0,0.0
+Turkey Keema,1.0,275.0,28.0,6.0,12.0,0.0,1.0,1.0,0.0
+Mackerel Fish Curry,1.0,210.0,22.0,5.0,9.0,0.0,1.0,1.0,0.0
+Egg Bhurji with Spinach,1.0,180.0,12.0,5.0,12.0,1.0,0.0,0.0,0.0
+Chicken Sausage Omelette,1.0,200.0,18.0,4.0,14.0,1.0,0.0,0.0,0.0
+Quinoa Chicken Salad,1.0,220.0,20.0,25.0,8.0,1.0,0.0,0.0,0.0
+Smoked Salmon Bagel,1.0,250.0,15.0,30.0,10.0,1.0,0.0,0.0,0.0
+Mutton Keema Sandwich,1.0,300.0,18.0,35.0,12.0,1.0,0.0,0.0,0.0
+Fish Patties,1.0,200.0,14.0,12.0,10.0,1.0,0.0,0.0,0.0
+Chicken Quiche,1.0,250.0,20.0,10.0,15.0,1.0,0.0,0.0,0.0
+Turkey Bacon Wrap,1.0,230.0,16.0,20.0,12.0,1.0,0.0,0.0,0.0
+Prawn and Avocado Toast,1.0,220.0,14.0,20.0,12.0,1.0,0.0,0.0,0.0
+Chicken Sausage Idli,1.0,200.0,15.0,25.0,8.0,1.0,0.0,0.0,0.0
+Veggie Paneer Sandwich,1.0,180.0,12.0,25.0,6.0,1.0,0.0,0.0,1.0
+Spinach and Cheese Wrap,1.0,210.0,10.0,30.0,8.0,1.0,0.0,0.0,1.0
+Moringa Leaf Juice,1.0,60.0,3.0,10.0,1.0,1.0,0.0,0.0,1.0
+Carrot Ginger Smoothie,1.0,150.0,2.0,30.0,1.0,1.0,0.0,1.0,1.0
+Turmeric Golden Milk,1.0,120.0,4.0,15.0,5.0,1.0,0.0,0.0,1.0
+Beetroot and Apple Juice,1.0,130.0,1.0,30.0,0.0,1.0,1.0,0.0,1.0
+Almond Saffron Milkshake,1.0,180.0,6.0,20.0,8.0,1.0,0.0,1.0,1.0
+Cucumber Aloe Vera Juice,1.0,50.0,1.0,10.0,0.0,1.0,0.0,0.0,1.0
+Spinach Pineapple Smoothie,1.0,110.0,2.0,25.0,1.0,1.0,0.0,1.0,1.0
+Kefir with Berries,1.0,100.0,5.0,15.0,3.0,1.0,0.0,0.0,1.0
+Fig and Banana Smoothie,1.0,200.0,4.0,40.0,2.0,1.0,0.0,0.0,1.0
+Pomegranate Mint Juice,1.0,120.0,1.0,28.0,0.0,1.0,0.0,1.0,1.0
+Papaya Mint Smoothie,1.0,140.0,2.0,32.0,1.0,1.0,0.0,1.0,1.0
+Kiwi Spinach Juice,1.0,90.0,2.0,20.0,0.0,1.0,1.0,0.0,1.0
+Mango Chia Seed Smoothie,1.0,170.0,3.0,35.0,4.0,1.0,0.0,0.0,1.0
+Avocado Banana Smoothie,1.0,220.0,3.0,40.0,8.0,1.0,0.0,0.0,1.0
+Coconut Juice,1.0,60.0,1.0,15.0,0.5,1.0,1.0,1.0,1.0
+,,,,,,,,,

templates/index.html

@@ -0,0 +1,297 @@
+<!DOCTYPE html>
+<html>
+<head>
+    <meta charset="UTF-8">
+    <title>Diet Recommendation System</title>
+    <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
+   <style>
+       /* static/style.css */
+
+/* General Styles */
+body {
+    font-family: 'Poppins', sans-serif;
+    background: linear-gradient(135deg, #f5f7fa, #c3cfe2);
+    margin: 0;
+    padding: 20px;
+    color: #333;
+}
+
+/* Page Container */
+.container {
+    max-width: 900px;
+    margin: auto;
+    background: #fff;
+    padding: 20px;
+    border-radius: 12px;
+    box-shadow: 0px 4px 10px rgba(0, 0, 0, 0.1);
+    animation: fadeIn 1s ease-in-out;
+}
+
+/* Header */
+h1 {
+    text-align: center;
+    color: #007BFF;
+    font-size: 2rem;
+    font-weight: bold;
+}
+
+/* Form Styles */
+form {
+    background: rgba(255, 255, 255, 0.9);
+    padding: 20px;
+    border-radius: 10px;
+    box-shadow: 0px 2px 6px rgba(0, 0, 0, 0.1);
+}
+
+label {
+    font-weight: bold;
+    display: block;
+    margin-bottom: 6px;
+}
+
+input, select, textarea {
+    width: 100%;
+    padding: 10px;
+    margin-bottom: 12px;
+    border: 2px solid #ccc;
+    border-radius: 6px;
+    transition: 0.3s;
+}
+
+input:focus, select:focus, textarea:focus {
+    border-color: #007BFF;
+    outline: none;
+    box-shadow: 0px 0px 6px rgba(0, 123, 255, 0.5);
+}
+
+/* Submit Button */
+button, .btn {
+    display: inline-block;
+    width: 100%;
+    padding: 12px;
+    background: linear-gradient(135deg, #007BFF, #0056b3);
+    color: white;
+    font-size: 1rem;
+    font-weight: bold;
+    text-align: center;
+    border: none;
+    border-radius: 8px;
+    cursor: pointer;
+    transition: 0.3s ease-in-out;
+}
+
+button:hover, .btn:hover {
+    background: linear-gradient(135deg, #0056b3, #00408a);
+    transform: scale(1.05);
+}
+
+/* Anchor Button Styling */
+a.btn {
+    text-decoration: none;
+}
+
+/* Tables */
+table {
+    width: 100%;
+    border-collapse: collapse;
+    margin-top: 20px;
+    background: white;
+    border-radius: 8px;
+    overflow: hidden;
+    box-shadow: 0px 3px 10px rgba(0, 0, 0, 0.1);
+}
+
+th, td {
+    padding: 12px;
+    text-align: left;
+    border-bottom: 1px solid #ddd;
+}
+
+th {
+    background: #007BFF;
+    color: white;
+}
+
+td {
+    background: #f9f9f9;
+}
+
+/* Chart Section */
+.chart {
+    background: white;
+    padding: 15px;
+    border-radius: 10px;
+    box-shadow: 0px 2px 8px rgba(0, 0, 0, 0.1);
+    margin-bottom: 20px;
+}
+
+/* Fade In Animation */
+@keyframes fadeIn {
+    from {
+        opacity: 0;
+        transform: translateY(-10px);
+    }
+    to {
+        opacity: 1;
+        transform: translateY(0);
+    }
+}
+
+/* Responsive Design */
+@media (max-width: 768px) {
+    .container {
+        padding: 15px;
+    }
+
+    button {
+        font-size: 0.9rem;
+    }
+}
+
+   </style>
+</head>
+<body>
+    <h1>Diet Recommendation System</h1>
+    <form method="post">
+        <label>Select your gender:</label>
+        <select name="user_gender" required>
+            <option value="Male">Male</option>
+            <option value="Female">Female</option>
+        </select><br>
+
+        <label>Enter your height in cm:</label>
+        <input type="number" name="user_height" min="50" max="250" step="1" required><br>
+
+        <label>Enter your weight in kg:</label>
+        <input type="number" name="user_weight" min="10" max="300" step="1" required><br>
+
+        <label>Enter your age in years:</label>
+        <input type="number" name="user_age" min="1" max="120" step="1" required><br>
+
+        <label>Enter any allergies or diseases (comma separated):</label>
+        <input type="text" name="allergies_diseases"><br>
+
+        <label>Are you vegetarian or non-vegetarian?</label>
+        <select name="dietary_preference" required>
+            <option value="veg">veg</option>
+            <option value="non-veg">non-veg</option>
+        </select><br>
+
+        <label>How often do you exercise in a week? (0 to 5):</label>
+        <input type="number" name="activity_level" min="0" max="5" step="1" required><br>
+
+        <input type="submit" value="Generate Diet Chart">
+    </form>
+
+    {% if results %}
+    <h2>Results</h2>
+    <p><strong>Your BMI:</strong> {{ results.bmi }}</p>
+    <p><strong>Predicted Body Category:</strong> {{ results.body_category }}</p>
+    <p><strong>Initial Calorie Intake:</strong> {{ results.initial_calorie_intake }} kcal/day</p>
+    <p><strong>New Calorie Intake:</strong> {{ results.new_calorie_intake }} kcal/day</p>
+
+    <h3>Breakfast</h3>
+    <table>
+        <tr>
+            <th>Food Item</th>
+            <th>Quantity</th>
+            <th>Calories (kcal)</th>
+            <th>Protein (g)</th>
+            <th>Carbohydrates (g)</th>
+            <th>Fats (g)</th>
+        </tr>
+        {% for row in results.breakfast %}
+        <tr>
+            <td>{{ row['Food Item'] }}</td>
+            <td>{{ row['Quantity'] }}</td>
+            <td>{{ row['Calories (kcal)'] }}</td>
+            <td>{{ row['Protein (g)'] }}</td>
+            <td>{{ row['Carbohydrates(g)'] }}</td>
+            <td>{{ row['Fats (g)'] }}</td>
+        </tr>
+        {% endfor %}
+    </table>
+    <p>Total Calories: {{ results.breakfast_total_calories }} kcal</p>
+    <p>Total Protein: {{ results.breakfast_total_protein }} g</p>
+    <p>Total Carbohydrates: {{ results.breakfast_total_carbs }} g</p>
+    <p>Total Fats: {{ results.breakfast_total_fats }} g</p>
+
+    <h3>Lunch</h3>
+    <table>
+        <tr>
+            <th>Food Item</th>
+            <th>Quantity</th>
+            <th>Calories (kcal)</th>
+            <th>Protein (g)</th>
+            <th>Carbohydrates (g)</th>
+            <th>Fats (g)</th>
+        </tr>
+        {% for row in results.lunch %}
+        <tr>
+            <td>{{ row['Food Item'] }}</td>
+            <td>{{ row['Quantity'] }}</td>
+            <td>{{ row['Calories (kcal)'] }}</td>
+            <td>{{ row['Protein (g)'] }}</td>
+            <td>{{ row['Carbohydrates(g)'] }}</td>
+            <td>{{ row['Fats (g)'] }}</td>
+        </tr>
+        {% endfor %}
+    </table>
+    <p>Total Calories: {{ results.lunch_total_calories }} kcal</p>
+    <p>Total Protein: {{ results.lunch_total_protein }} g</p>
+    <p>Total Carbohydrates: {{ results.lunch_total_carbs }} g</p>
+    <p>Total Fats: {{ results.lunch_total_fats }} g</p>
+
+    <h3>Dinner</h3>
+    <table>
+        <tr>
+            <th>Food Item</th>
+            <th>Quantity</th>
+            <th>Calories (kcal)</th>
+            <th>Protein (g)</th>
+            <th>Carbohydrates (g)</th>
+            <th>Fats (g)</th>
+        </tr>
+        {% for row in results.dinner %}
+        <tr>
+            <td>{{ row['Food Item'] }}</td>
+            <td>{{ row['Quantity'] }}</td>
+            <td>{{ row['Calories (kcal)'] }}</td>
+            <td>{{ row['Protein (g)'] }}</td>
+            <td>{{ row['Carbohydrates(g)'] }}</td>
+            <td>{{ row['Fats (g)'] }}</td>
+        </tr>
+        {% endfor %}
+    </table>
+    <p>Total Calories: {{ results.dinner_total_calories }} kcal</p>
+    <p>Total Protein: {{ results.dinner_total_protein }} g</p>
+    <p>Total Carbohydrates: {{ results.dinner_total_carbs }} g</p>
+    <p>Total Fats: {{ results.dinner_total_fats }} g</p>
+
+    <h3>Timings</h3>
+    {% if results.age <= 18 or results.age >= 60 %}
+        <ul>
+            <li>Breakfast: 9 to 10 am</li>
+            <li>Lunch: 12 to 1 pm</li>
+            <li>Dinner: 7 to 8 pm</li>
+        </ul>
+    {% else %}
+        <ul>
+            <li>Breakfast: 7 to 8 am</li>
+            <li>Lunch: 1 to 2 pm</li>
+            <li>Dinner: 8 to 9 pm</li>
+        </ul>
+    {% endif %}
+
+    <div class="chart">
+        <h3>Calorie Distribution Chart</h3>
+        {{ results.calorie_chart | safe }}
+    </div>
+
+    <div class="chart">
+        <h3>Nutrient Distribution Chart</h3>
+        {{ results.nutrient_chart | safe }}
+    </div>
+    {% endif %}
+</body>
+</html>