// Projects

CA Management System

Full-Stack Client Management Application
Nov 2025 – Present

A full-stack web application built for managing client data and workflows at a CA (Chartered Accountant) firm, using Python, Flask, and PostgreSQL. Designed and implemented REST APIs for handling client records and data operations with full CRUD functionality.

Features secure authentication, role-based access controls, and data validation. The database was initially built in SQLite and migrated to PostgreSQL for production readiness. The application was containerized with Docker and deployed to cloud platforms for scalability and performance.

KEY FEATURES
▸ REST API design for client record management
▸ Authentication and secure session management
▸ Full CRUD functionality with input validation
▸ Database migration from SQLite to PostgreSQL
▸ Docker containerization and cloud deployment
▸ Role-based data handling and access control
PythonFlaskPostgreSQL DockerREST APIAuthCRUD

Password Cracking & Credential Attack Suite

Ethical Password Security Toolkit
2026

An ethical password security toolkit with a live interactive Streamlit dashboard. It performs real crypt-hash cracking against Linux shadow files ($1/$5/$6$) and Windows NTLM hashes.

Includes a NIST SP 800-63B compliance engine with breach corpus validation, entropy analysis, and pattern checks. Features a live hardware benchmark measuring actual hashes/second at runtime. Visual analytics include entropy histograms, severity pie charts, and risk rankings. Comes with 38 automated pytest tests for reliability assurance.

KEY FEATURES
▸ Linux shadow and Windows NTLM hash cracking
▸ NIST SP 800-63B compliance engine
▸ Visual analytics: entropy histogram, severity pie chart, risk ranking
▸ Live hardware benchmark (hashes/sec at runtime)
▸ Breach corpus, entropy analysis, and pattern checks
▸ 38 automated pytest tests
PythonStreamlitpytest NISTSecurityAnalyticsIAM

Doctor Appointment System

Healthcare Management Web Application
2025

A web-based application for managing doctor appointments and patient workflows built with Flask, HTML, CSS, and JavaScript. Provides a complete system for booking appointments, managing patient data, and handling prescriptions.

Features responsive frontend interfaces integrated with backend APIs, secure authentication mechanisms, and proper data validation throughout. Special attention was paid to handling sensitive healthcare data with secure coding practices.

KEY FEATURES
▸ Doctor appointment booking and management
▸ Patient data management and prescriptions
▸ Authentication and session management
▸ Responsive frontend design
▸ Backend API integration
▸ Data validation and secure data handling
FlaskJavaScriptHTML/CSS AuthHealthcareREST API