Calorie Tracking Web App with Recipe Filter
Budget: £20 – £250 GBP
We are looking for a skilled web developer to build ByteBot, a desktop-based calorie tracking website designed for South Asian cuisine. ByteBot uniquely combines image recognition with meal logging, nutrient tracking, and personalized recipe recommendations to improve user engagement and dietary habits.
Key Features
1. User Account Creation
Users should be able to create accounts and input basic personal details such as:
Name, age, gender, email, and password.
Height and weight (to calculate BMI in the backend).
Personal history of illnesses, Family history of illnesses (e.g., diabetes, heart disease).
Enable secure login and account management, including password recovery.
2. Image-Based Meal Logging
Image Upload:
Users can upload images of their meals.
The system identifies the dish using GPT4o and prompts for confirmation or manual input if needed.
Follow-Up Questions:
Ask predefined questions to refine meal details (e.g., serving size, sides, ingredients).
Macronutrient and Micronutrient Tracking:
Calculate and display nutritional details for each logged meal (e.g., calories, protein, fat, carbs, fiber, iron).
Store meal logs in the user's account for daily tracking.
3. Recipe Selection
Include a recipe selection feature with the following filters:
Dietary Preferences: Vegan, Vegetarian, Pescatarian, Gluten-Free, Lactose-Free.
Health Goals: Low-Carb, High-Protein, Low-Fat, Heart-Healthy, Antioxidant-Rich.
Meal Types: Breakfast, Lunch, Dinner, Snacks.
Cultural Preferences: South Asian cuisines like Indian, Bangladeshi, and Pakistani.
Display recipes with:
Image, name, preparation time, and dietary tags.
Option to save, rate, or like recipes.
4. Nutrient-Based Recommendations
Use logged meals to calculate remaining macronutrients and micronutrients for the day.
Recommend recipes to help users meet their daily nutritional goals.
Allow users to explore additional recipes via the recipe selection page.
5. Nutritional Progress Tracking
Daily Overview:
Display a visual dashboard of consumed vs. recommended nutrients (calories, protein, carbs, fat, fiber, iron, etc.).
Weekly Reports:
Summarize dietary trends and provide suggestions for improvement.
Gamification:
Reward users for consistent meal logging (e.g., badges or achievements).
6. Health Advice
Provide personalized health tips based on user profile and meal logs, such as:
"Consider incorporating more fiber to improve digestion."
"Switching to olive oil can reduce saturated fat intake."
Display random tips or facts about South Asian cooking (e.g., benefits of turmeric, avoiding chai after meals).
7. Recipe Saving and Management
Users can:
Save favorite recipes for future access.
Rate recipes and view top-rated dishes.
Ideal Developer Skills
Web Development Expertise:
Strong skills in creating responsive, user-friendly desktop websites.
Experience with modern frontend frameworks (React, Vue.js, or Angular).
Proficiency in backend development with Python (Django, Flask, or FastAPI) or Node.js.
Image Recognition Integration:
Experience implementing image upload and processing features.
Familiarity with AI service like OpenAI’s GPT-4 for dish recognition.
Database Design:
Proficient in designing and managing NoSQL databases (MongoDB) for storing user profiles, meal logs, and recipes.
Dietary and Nutrition Expertise (Preferred):
Understanding of dietary needs and health goals to implement accurate recipe filtering and nutrient tracking systems.
Intuitive UI/UX Design:
Capable of designing an interface that’s visually appealing and intuitive for users of all technical backgrounds.
Expected Deliverables
Fully functional calorie tracking website with the described features.
Intuitive recipe selection and saving interface.
Backend systems for:
Image recognition and meal logging.
Macronutrient and micronutrient tracking.
Recipe recommendation and management.
Comprehensive user account management system.
Visual dashboard for daily and weekly nutritional tracking.
Proposal Requirements
Include examples of previous projects that demonstrate:
Image recognition or similar AI integration.
Calorie tracking or diet management systems.
Recipe selection or filtering features.
Describe how you would approach this project step-by-step.
Provide a timeline for completion and estimated cost.
Key Features
1. User Account Creation
Users should be able to create accounts and input basic personal details such as:
Name, age, gender, email, and password.
Height and weight (to calculate BMI in the backend).
Personal history of illnesses, Family history of illnesses (e.g., diabetes, heart disease).
Enable secure login and account management, including password recovery.
2. Image-Based Meal Logging
Image Upload:
Users can upload images of their meals.
The system identifies the dish using GPT4o and prompts for confirmation or manual input if needed.
Follow-Up Questions:
Ask predefined questions to refine meal details (e.g., serving size, sides, ingredients).
Macronutrient and Micronutrient Tracking:
Calculate and display nutritional details for each logged meal (e.g., calories, protein, fat, carbs, fiber, iron).
Store meal logs in the user's account for daily tracking.
3. Recipe Selection
Include a recipe selection feature with the following filters:
Dietary Preferences: Vegan, Vegetarian, Pescatarian, Gluten-Free, Lactose-Free.
Health Goals: Low-Carb, High-Protein, Low-Fat, Heart-Healthy, Antioxidant-Rich.
Meal Types: Breakfast, Lunch, Dinner, Snacks.
Cultural Preferences: South Asian cuisines like Indian, Bangladeshi, and Pakistani.
Display recipes with:
Image, name, preparation time, and dietary tags.
Option to save, rate, or like recipes.
4. Nutrient-Based Recommendations
Use logged meals to calculate remaining macronutrients and micronutrients for the day.
Recommend recipes to help users meet their daily nutritional goals.
Allow users to explore additional recipes via the recipe selection page.
5. Nutritional Progress Tracking
Daily Overview:
Display a visual dashboard of consumed vs. recommended nutrients (calories, protein, carbs, fat, fiber, iron, etc.).
Weekly Reports:
Summarize dietary trends and provide suggestions for improvement.
Gamification:
Reward users for consistent meal logging (e.g., badges or achievements).
6. Health Advice
Provide personalized health tips based on user profile and meal logs, such as:
"Consider incorporating more fiber to improve digestion."
"Switching to olive oil can reduce saturated fat intake."
Display random tips or facts about South Asian cooking (e.g., benefits of turmeric, avoiding chai after meals).
7. Recipe Saving and Management
Users can:
Save favorite recipes for future access.
Rate recipes and view top-rated dishes.
Ideal Developer Skills
Web Development Expertise:
Strong skills in creating responsive, user-friendly desktop websites.
Experience with modern frontend frameworks (React, Vue.js, or Angular).
Proficiency in backend development with Python (Django, Flask, or FastAPI) or Node.js.
Image Recognition Integration:
Experience implementing image upload and processing features.
Familiarity with AI service like OpenAI’s GPT-4 for dish recognition.
Database Design:
Proficient in designing and managing NoSQL databases (MongoDB) for storing user profiles, meal logs, and recipes.
Dietary and Nutrition Expertise (Preferred):
Understanding of dietary needs and health goals to implement accurate recipe filtering and nutrient tracking systems.
Intuitive UI/UX Design:
Capable of designing an interface that’s visually appealing and intuitive for users of all technical backgrounds.
Expected Deliverables
Fully functional calorie tracking website with the described features.
Intuitive recipe selection and saving interface.
Backend systems for:
Image recognition and meal logging.
Macronutrient and micronutrient tracking.
Recipe recommendation and management.
Comprehensive user account management system.
Visual dashboard for daily and weekly nutritional tracking.
Proposal Requirements
Include examples of previous projects that demonstrate:
Image recognition or similar AI integration.
Calorie tracking or diet management systems.
Recipe selection or filtering features.
Describe how you would approach this project step-by-step.
Provide a timeline for completion and estimated cost.