Disease Identification System (C++)

An intelligent healthcare solution for identifying potential diseases based on user symptoms, providing medication suggestions, and managing user data securely through file handling.

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📖 Overview

This project is a C++ application designed to assist users in identifying diseases and suggesting treatments. It integrates symptom analysis, disease diagnosis, treatment recommendations, billing, and feedback functionalities. The system emphasizes user privacy by assigning a unique ID to each patient and securely storing information in files.

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🚀 Features

• Login/Registration System:

  • Secure login using patient ID or mobile number.
  • Registration system with unique patient ID generation.
  • Password validation with multiple attempts.

• Disease Identification:

  • Analyze symptoms to identify probable diseases.
  • Suggest diagnostic tests for narrowing down results.
  • Provide treatments for the identified diseases.

• Personal Information Management:

  • View and manage personal details securely.

• Billing and Payment:

  • Generate bills based on services utilized.
  • Support for cash and online payment methods.
  • Automatic change calculation for cash payments.

• Feedback System:

  • Collect user feedback for improving the system.

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🛠️ Tools and Libraries

This project utilizes the following C++ libraries:

• <iostream>: Input/Output operations.
• <fstream>: File handling.
• <string>: String manipulation.
• <vector>: Dynamic array operations.
• <sstream>: String stream operations.
• <iomanip>: Input/Output manipulators.
• <ctime>: Date and time utilities.
• <algorithm>: Sequence algorithms.
• <unordered_set>: Set container.
• <cctype>: Character classification functions.

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⚙️ How It Works

1. Welcome Window and Login:

   • Displays a welcome message and prompts users to log in.
   • If login fails, users can opt to register.

2. Main Menu:

   • View Personal Details: Displays stored personal information.
   • Identify Disease:
     • User answers common and uncommon symptom prompts.
     • Identifies potential diseases and displays treatments/tests.
   • Exit: Exits the program.

3. Billing and Payment:

   • Generates bills based on actions (e.g., viewing diseases, tests).
   • Offers cash or online payment options.

4. Feedback:

   • Collects user feedback at the end of the session.

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💻 Program Flow

1. User Login:
   • User logs in using credentials stored in patients.txt.
2. Symptom Analysis:
   • Users answer questions about common and uncommon symptoms.
   • The system matches these symptoms to diseases.
3. Diagnosis and Treatment:
   • Users can view disease details, treatments, and recommended tests.
4. Billing:
   • Calculates fees based on services availed.
   • Allows users to make payments via cash or online banking.
5. Feedback Collection:
   • Gathers user suggestions and ratings for system improvement.

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🧑‍💻 Concepts Utilized

• Data Structures:
  • Structures for patients, diseases, and feedback.
• File Handling:
  • Read/write operations for patient data storage.
• Standard Template Library (STL):
  • Use of vector, unordered_set, and algorithms.
• Exception Handling:
  • Validations for input errors and file operations.

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📂 File Structure

• patients.txt: Stores patient records (ID, name, DOB, etc.).
• Source code files:
  • Implement login, registration, symptom analysis, and payment logic.
• Diagnostic data: Stores diseases, symptoms, and treatments.

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✨ Future Enhancements

• Optimizing runtime and complexity.
• Summarizing diagnosis in a receipt format.
• Adding advanced access modes:
  • Manager’s Window: Record visits, track common symptoms, and update diseases.
  • Patient Features: Edit personal information and view past diagnoses.

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📜 Authors

Developed by:

• Avni Rastogi
• Anshika Aggarwal
• Manayav Vatsal
• Kohsheen Razdan

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