AliFit Tracker

A personal fitness web application for body recomposition - track workouts, monitor progressive overload, and manage nutrition with a built-in calorie calculator.

Live app: https://alifit-tracker.vercel.app

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Features

• Training Tracker - 6-day Push/Pull/Legs split with set-by-set logging, progressive overload line charts, performance regression/stall alerts, and 4-week mesocycle deload management
• Nutrition Tracker - Daily calorie and macro logger with a 16-food library, 7-day bar charts, protein trend chart, and macro pie breakdown
• Calorie Calculator - Standalone BMR/TDEE tool (no login required), using Mifflin-St Jeor formula with a personalised macro split
• Progress Dashboard - Weight log with dynamic goal tracker, weekly loss rate, and ETA to goal
• Authentication - Email/password auth with user profiles and auto-computed daily targets

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Tech Stack

Layer	Technology
Framework	Next.js 16 (App Router)
Language	TypeScript 5
Styling	Tailwind CSS + Shadcn/UI
Database & Auth	Supabase (PostgreSQL + RLS)
Charts	Recharts
Deployment	Vercel

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Getting Started

Prerequisites

• Node.js 18+
• A Supabase account (free tier)

Installation

git clone https://github.com/aliivaezii/alifit-tracker.git
cd alifit-tracker
npm install

Environment Variables

Create a .env.local file in the project root:

NEXT_PUBLIC_SUPABASE_URL=your_supabase_project_url
NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key

Database Setup

Run these files in your Supabase SQL Editor in order:

1. supabase/migrations/001_initial_schema.sql - creates all tables, RLS policies, and indexes
2. supabase/seed.sql - seeds the 16 default foods library

Run Locally

npm run dev

Open http://localhost:3000 - you will be redirected to the login page.

First-time Setup

1. Sign up with your email and password
2. Complete the onboarding profile wizard
3. BMI, BMR, TDEE, and macro targets are calculated automatically from your stats

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Project Structure

alifit-tracker/
├── app/
│   ├── (app)/                  # Authenticated routes (sidebar layout)
│   │   ├── dashboard/          # Home dashboard with calorie ring + weight trend
│   │   ├── training/
│   │   │   ├── plan/           # 6-day plan reference cards
│   │   │   ├── log/            # Interactive set-by-set workout logger
│   │   │   ├── analytics/      # Progressive overload charts (auto-detected exercises)
│   │   │   └── deload/         # 4-week mesocycle deload tracker
│   │   ├── nutrition/
│   │   │   ├── meals/          # Daily meal plan reference
│   │   │   ├── log/            # Daily calorie logger
│   │   │   ├── analytics/      # 7-day macro charts
│   │   │   └── calculator/     # Calorie calculator shortcut
│   │   ├── progress/           # Weight trend, dynamic goal bar, ETA
│   │   └── settings/           # Profile editor + live targets preview
│   ├── auth/                   # Login, signup, onboarding, OAuth callback
│   └── calculator/             # Standalone BMR/TDEE tool (no login required)
├── components/
│   ├── layout/                 # Collapsible sidebar + mobile bottom navigation
│   └── ui/                     # Shadcn/UI component library
├── lib/
│   ├── supabase/               # Browser, server, and proxy clients
│   ├── fitness-math.ts         # BMR, TDEE, BMI, macro calculations
│   └── training-plan.ts        # 6-day plan data and weekly volume targets
├── supabase/
│   ├── migrations/             # SQL schema with RLS policies
│   └── seed.sql                # Default 16-food library
└── types/                      # Shared TypeScript interfaces and constants

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Key Formulas

BMR (Mifflin-St Jeor):

• Male: (10 x weight_kg) + (6.25 x height_cm) - (5 x age) + 5
• Female: (10 x weight_kg) + (6.25 x height_cm) - (5 x age) - 161

TDEE: BMR x activity_multiplier

Activity Level	Multiplier
Sedentary	1.2
Lightly Active	1.375
Moderately Active	1.55
Very Active	1.725

Calorie Targets:

• Fat Loss: TDEE - 400
• Recomposition: TDEE
• Muscle Gain: TDEE + 300

Macros: Protein = 2 g/kg body weight | Fat = 0.8 g/kg | Carbs = remaining calories / 4

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Database Schema

profiles         -- user stats: weight, height, dob, goal, activity level
weight_logs      -- daily weight entries (unique per user per date)
workout_sessions -- logged workout sessions (date, day_number, notes)
exercise_logs    -- set-by-set data: exercise_name, muscle_group, weight_kg, reps
foods            -- food library: default entries + user-added items
meal_logs        -- daily meals grouped by meal_type
meal_items       -- individual food quantities with pre-calculated macros

All tables use Row Level Security (RLS). Users can only read and write their own rows.

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Deployment

Vercel (recommended)

1. Fork this repository
2. Import it on Vercel
3. Add both environment variables in the Vercel dashboard
4. Set the Supabase redirect URL to https://your-app.vercel.app/auth/callback

Every push to main triggers an automatic Vercel deployment.

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License

MIT (c) Ali Vaezi