DietTrack: A-no-code-WebApp

Personal Diet tracker developed using no code tools

Built using Supabase + Lovable (No Code)
Track your daily meals, monitor nutrition goals, and visualize progress — all without writing a single line of code!

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📌 Overview

This is a simple, responsive, and customizable Personal Diet Tracker built entirely using no-code tools. The app helps users:

• Log daily meals and nutrients
• Set calorie goals based on personal details
• Track progress via daily and weekly summaries
• Stay accountable with upcoming reminders (in progress)

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⚙️ Tech Stack

Function	Tool
Database & Authentication	Supabase
Frontend/UI Builder	Lovable

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🧠 Features

👥 User Authentication

• Email login using Supabase Auth
• All user data securely stored in Supabase

🎯 Goal Setup

• Age, Gender, Height, Weight, Activity Level
• Choose goal: Lose, Maintain, or Gain weight
• Based on the entered data, automatically calculate TDEE (Totally Daily Energy Expenditure) and daily calorie goal

🍽️ Meal Logging

• Add meal name, calories, carbs, protein, fats
• Organize by meal type (breakfast, lunch, etc.)
• Edit/delete entries with ease

📊 Daily Summary

• View total calories and macronutrients for the day
• Compare with your calorie target

📈 Weekly Trends

• Line graphs and bar charts of nutrient intake
• Visualize your progress and patterns

🔔 Planned Feature: Meal Reminders

• Scheduled email or push notifications
• Reminder to log meals daily

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🧾 Database Schema (Supabase)

users

Field	Type
id	UUID (PK)
email	String
created_at	Timestamp

user_profiles

Field	Type
user_id	UUID (FK to users)
age	Int
gender	String
height_cm	Float
weight_kg	Float
activity_level	String
goal_type	String
created_at	Timestamp

goals

Field	Type
user_id	UUID
calorie_target	Int
goal_type	String
created_at	Timestamp

meals

Field	Type
id	UUID
user_id	UUID
food_name	String
meal_type	String
calories	Int
carbs	Int
proteins	Int
fats	Int
logged_at	Timestamp

daily_summaries

Field	Type
user_id	UUID
date	Date
calories_total	Int
carbs_total	Int
protein_total	Int
fats_total	Int
calorie_goal	Int
met_goal	Boolean

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🚀 Getting Started

1. Create a Supabase project

   • Enable Auth
   • Create tables as per schema above (or prompt Lovable to do so once tables are linked as in step 3.)

2. Design UI in Lovable

   • Use Lovable’s no-code builder to create the onboarding, meal logging, summaries, and trends views

3. Configure Lovable to connect to Supabase

   • Use the Supabase REST API or client libraries via Lovable integrations

4. Publish app using Lovable's deployment options

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🧪 Demo

Started with this:

Then

Built this:

Do check the website and let me know how was it!

📚 Future Enhancements

• Add push notifications (via OneSignal)
• AI-powered meal suggestions
• Health API integrations (Fitbit, Apple Health)
• Weekly recap emails
• Community challenges

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🙌 Acknowledgments

• Supabase for backend and auth
• Lovable for intuitive no-code UI building
• Youtube

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📬 Contact

Have ideas, feedback, or questions?

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