Taobata Simporé

Admin Features

1. Admin Authentication
   • Admin Login: Administrators have a separate login interface with special credentials for secure access.
   • Admin Registration: New administrators can create an account by providing additional information such as employee code and CIN number.
2. Admin Dashboard
   • Manage Client Accounts: Administrators can view, modify, and delete client information. They can also search for specific clients by username.
   • Manage Itineraries: Administrators can add, modify, and delete itineraries, including details such as train number, departure and arrival stations, times, and ticket prices.
   • Manage Reservations: Administrators can view, confirm, and delete client reservations, with details such as reservation date, client name, and phone number.

Technologies Used

• JavaFX: For the user interface, providing a smooth and responsive user experience.
• MySQL: For database management, ensuring efficient data handling of users, itineraries, reservations, and payments.
• JDBC: For database connectivity, enabling seamless interaction between the application and the database.
• CSS: For customization of the application's appearance, delivering a visually appealing and professional interface.

Database Structure

Key Tables

• user: Stores user information including name, date of birth, phone number, username, and password.
• admin: Stores administrator information including name, date of birth, phone number, employee code, CIN number, username, and password.
• itinerary: Contains itinerary details including train number, departure and arrival stations, departure and arrival times, and ticket prices.
• reservation_confirmation: Contains reservation details including client name, phone number, and reservation specifics.
• payment: Contains payment details including cardholder name, card number, expiration date, and CVV.

Objective

Phishing attacks are one of the most prevalent cybersecurity threats today. They exploit users by tricking them into visiting fraudulent websites that steal sensitive information. To combat this, I built a Phishing URL Scanner, a tool that quickly determines whether a given URL is legitimate or malicious.

How It Works

• Real-time URL analysis: The tool takes user-provided URLs and evaluates them using security databases.
• Pattern recognition: Detects red flags like domain misspellings, IP-based links, and common phishing indicators.
• Threat classification: Categorizes URLs into safe, suspicious, or malicious based on various security markers.
• Integration with known phishing databases: Cross-references URLs with a blacklist of phishing websites to ensure accurate detection.

Outcome & Impact

• Enables users to verify links before clicking, preventing potential phishing attacks.
• Provides educational feedback on what makes a link suspicious.
• Improves cybersecurity awareness by showing users why certain URLs may be dangerous.
• Built using Python and integrated with security databases for accuracy.

Technologies Used

• Programming & Backend: Python, Flask, Streamlit.
• Data Processing & ML: pandas, scikit-learn, under-sampling, hyperparameter tuning.
• Security Analysis: tldextract, regex, requests.
• Threat Intelligence: Known phishing databases.

Objective

Passwords are the first line of defense against unauthorized access. Weak passwords leave accounts vulnerable to brute-force attacks and credential stuffing. To help users create and validate strong passwords, I built a Password Strength Checker, a tool that assesses password security and provides real-time feedback.

How It Works

• Strength analysis: Evaluates passwords based on length, complexity, and uniqueness.
• Interactive UI: Real-time validation using Streamlit, offering a color-coded indicator (red/orange/green) for password security levels.
• Secure password generator: Allows users to generate strong passwords with customizable length & complexity preferences.
• Educational feedback: Guides users on how to improve weak passwords with immediate suggestions.

Outcome & Impact

• Makes password security more accessible & understandable for users.
• Created a user-friendly application with an intuitive design.
• Encourages better security habits by providing educational tips.
• Designed using Python, Streamlit, and UI/UX optimization techniques.

Technologies Used

• Python → Core programming language for security analysis.
• Streamlit → Interactive framework for real-time password validation.
• Base64 → Used for custom background implementation.
• Security Guidelines → Principles aligned with OWASP password standards for secure authentication.

Objective

Key Features

• Real-time solar tracking using LDR sensors.
• AI-powered predictions for upcoming solar conditions.
• User-friendly mobile interface with dynamic charts and live updates.
• Cloud-based data management for reliability and scalability.