🍏 Daily Calorie Tracker CLI (Tracker.py)

Mini Project Assignment: Daily Calorie Tracker CLI

Detail	Value
Author	Ishan Rawat
Date	5th October 2025
Project Name	Caloric

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1. 🎯 Project Goal

This project provides a simple, lightweight Command-Line Interface (CLI) application for tracking daily caloric intake. The primary goal is to offer a quick, digital method for manually logging meals and calculating key health metrics without the overhead of complex applications.

Key Objectives:

1. Efficiency: Allow rapid data entry for meal and calorie data.
2. Monitoring: Calculate the Total and Average daily calorie intake.
3. Alerting: Provide an immediate warning if the average caloric intake exceeds a predefined safe limit (Average_Safe_Calories).

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2. 📊 Data Understanding (Inputs and Structure)

The tool operates on direct user input to generate its report.

Data Point	Type	Description
Meal Name	String	The name of the food/meal (e.g., "Lunch Salad").
Calories Intake	Float	The caloric value of the meal.
Number of Meals (x)	Integer	The initial count of meals to be logged.

Output Data: The final report displays the total caloric sum, the average calories per meal, and a formatted breakdown table.

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3. ⚙️ Data Preparation (Input Processing)

Data preparation focuses on collecting and organizing the user inputs for calculation:

1. Collection: The program iteratively prompts the user for the name and calorie count for the specified number of meals.
2. Storage: Meal names and calorie values are temporarily stored in two synchronized Python lists (Meals and Calories).
3. Data Typing: Input values are immediately cast using int() and float() to ensure they are ready for mathematical operations.

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4. 🧠 Modeling (The Core Logic)

The "modeling" phase is based on standard arithmetic calculations and a simple rule-based comparison.

Metric	Calculation
Total Calories (A)	Sum of all elements in the Calories list (sum(Calories)).
Average Calories	Total Calories divided by the number of meals (A / x).

Rule-Based Alert Model:

• Threshold: Average_Safe_Calories (Set to 600 in the current implementation).
• Logic: If the calculated Average is greater than the threshold, a "Warning!!" is displayed.

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5. ✅ Evaluation (Verification)

Evaluation is performed by the user reviewing the generated report for accuracy:

• The program prints a detailed, formatted table (Meal Breakdown) to the console, allowing the user to visually verify that all inputs were correctly captured.
• The final output of the Total Calories and Average Calories acts as the summary metric, which the user can check against their dietary goals.

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Sample

6. 🚀 Deployment (How to Run)

This CLI is ready for immediate use and requires a standard Python environment.

Prerequisites

• Python 3.x installed on your system.

Installation & Execution

1. Clone the repository or download the script:

   git clone [https://github.com/rawatishan07/Tracker.py](https://github.com/rawatishan07/Tracker.py)
   cd Tracker.py 

2. Run the script:

   python Tracker.py

3. Follow Prompts: The application will guide you through entering the number of meals and then the name and calorie count for each one.