SmartPOS: A Web-Based Point-of-Sale and Inventory Management System

Small retail shops such as mini-marts often record sales and stock manually or in disconnected spreadsheets, which makes it difficult to know current stock levels, track daily sales, or stop a cashier from selling an item that is already out of stock. SmartPOS is a web based Point-of-Sale and Inventory Management System built with Python, Flask, and MySQL that lets an Admin manage products and view sales reports, a Cashier process sales at checkout, and a Customer hold a simple account to view their own purchase history. The system applies Object-Oriented Programming through a layered architecture that separates domain models, business services, and database repositories. Core features include role-based authentication, product and stock management, a sales/checkout workflow that automatically updates inventory, product search, and a sales report page. Given a 5-week development window, the team will build the minimum required features first and treat extras such as discounts and customer accounts as optional stretch goals. The expected output is a working Flask application backed by a MySQL database, supported by test cases and a live demonstration of a full sale transaction.

Gym Membership management System

Many small and medium-sized gyms still manage members using paper forms, spreadsheets, and manual payment records. These methods can take time, cause data entry mistakes, and make it difficult for staff to know whether a member is active or has expired. This project proposes a Gym Membership Management System to make these tasks easier and more organized. The system will be a web application developed using Python, Flask, and MySQL, with Object-Oriented Programming principles. It will provide separate access for Admin, Staff, Trainer, and Member users. Admin and Staff can manage members, membership plans, payments, and attendance. Trainers can view assigned members and training sessions, while Members can view their own membership, payment, and attendance information. The system will also provide search, filtering, expiry status, and simple reports such as daily revenue and membership status. The application will use a four-layer structure: Model, Repository, Service, and Route. Development will follow five two-week sprints, with testing performed during development. The expected result is a working prototype that reduces manual work, keeps records organized, improves membership checking, and provides a clear way to manage gym information in one system.

Campus Information

ប្លង់អគារនៃសកលវិទ្យាល័យពុទ្ឌិសាស្រ្ត

ADVANCED OOP — R&D PROJECT PROPOSAL INTERACTIVE QUIZ ENGINE

This research and development project proposal presents the design, architecture, and implementation strategy for the Interactive Quiz Engine, a web-based educational assessment platform built with Python, Flask, and MySQL. Educational institutions frequently suffer from feedback delays caused by manual test grading, non-reusable assessment materials, and fragmented student tracking across spreadsheets and paper records. The Interactive Quiz Engine directly addresses these inefficiencies by introducing a multi-format quiz creation tool, automated evaluation pipelines for objective question types, and centralized attempt history tracking. By leveraging core Object-Oriented Programming (OOP) principles—specifically polymorphism, encapsulation, and layered repository design—the engine cleanly separates core business logic (e.g., dynamic answer evaluation) from data persistence and interface routing. The software enables educators to author quizzes containing Multiple Choice (MCQ), True/False, and Short Answer questions within minutes, while providing students with instant score feedback upon submission. Expected project outcomes include a operational 5-layered Flask/MySQL web application, complete automated test suites, dynamic class performance reporting, and comprehensive architectural documentation suitable for academic defense.

About UP

Welcome to University of Puthisastra ABOUT UP : Message from the Chancellor

Vehicle Inventory and Sales Management System for SMEs

Small and Medium Enterprises (SMEs) that sell vehicles need an effective way to manage vehicle inventory and sales records. Some businesses may use manual records, spreadsheets, or separate files to manage their daily operations. This can make it difficult to track available and sold vehicles, record stock movements, manage sales, and retrieve important information. This project proposes the development of a web-based Vehicle Inventory and Sales Management System for SMEs. The system will help users manage vehicle inventory, stock movements, customers, sales, and invoices in one centralized system. It will also include Role-Based Access Control (RBAC) to control user access based on their roles. The system will be developed using Python and Flask, with MySQL as the database. Object-Oriented Programming principles will be applied by organizing the system into domain models, services, repositories, and routes. The expected result is a functional and well-organized web-based system that helps SMEs manage vehicle inventory and sales operations more efficiently.

ReanMate. An AI Turtor and Private classroom.

ReanMate is an AI-powered learning platform for people in Cambodia. The intended Minimum Viable Product (MVP) features teachers setting up private classes, inviting students to join online via a join code, uploading PDFs and videos to the class, enabling the creation of assignments and quizzes, and managing each class's student usage of AI assistance. Furthermore, students are able to enroll in authorized courses, view lessons created by the teacher, complete assignments and quizzes, and use AI tools to ask questions or get answers from lessons, quizzes, and assignments, all based on the teachers' uploaded content. This system is engineered to provide Khmer, English, or mixed-language questions, and to indicate the source(s) and the pages in which each AI answer is generated. This project illustrates advanced object-oriented programming concepts, such as: classes, service classes, repository classes, validation, composition and separation of responsibility. It shows the structure of a procedural system which allows to decouple routes/controllers, business services, repositories, models, templates, and database access together. Users, classes, memberships, lessons, videos, documents, assignments, conversations, messages, sources, practice questions and AI usage records are stored in a MySQL DB. The AI workflow involves processing, chunking, embedding retrieval of the PDFs by page along with a grounded prompt that asks the OpenAI API or Gemini for an answer.

Institute For International Studies and Public Policy

IISPP is to become a leading institution and a center of excellence contributing to academic scholarship and research on Cambodia, Asia, the world and their interfaces.

Institue For International Studies and Public Policy

IISPP is to become a leading institution and a center of excellence contributing to academic scholarship and research on Cambodia, Asia, the world and their interfaces.

Pharmacy Management System

The Pharmacy Management System (PMS) is a desktop-based software application developed to automate the daily operations of a retail pharmacy, including medicine inventory management, sales processing, and expiry-date monitoring. Traditional, manual approaches to pharmacy management, which rely on paper registers and spreadsheets, are prone to significant limitations such as inaccurate stock records, delayed detection of expired medicines, inconsistent billing, and the absence of centralized, searchable records. These shortcomings can lead to financial losses, stock-outs of essential medicines, and, in more serious cases, the dispensing of expired or near-expired products. This project addresses these issues by designing and implementing a computerized system built using Python 3.11+, the PyQt6 graphical user interface framework, and the SQLite3 relational database engine. The system follows a three-tier architecture that separates the presentation layer, business logic layer, and database layer, allowing for a maintainable and extensible codebase. The core functionalities implemented include medicine registration and categorization, supplier and customer record management, real-time inventory tracking with automatic stock deduction upon sale, expiry-date monitoring with visual alerts, low-stock notifications based on configurable reorder levels, and a point- of-sale (POS) module that calculates itemized bills and generates transaction receipts. All data is persisted in a normalized SQLite3 database that enforces referential integrity through primary key and foreign key constraints, as well as data validation rules such as NOT NULL, UNIQUE, and CHECK constraints. The system was evaluated through a structured testing process covering database initialization, CRUD operations, sales transactions, stock deduction accuracy, expiry detection, low-stock alerts, and input validation. Test results confirm that the system performs its intended functions reliably and produces accurate calculations. The developed Pharmacy Management System demonstrates how a combination of an event-driven GUI framework and a lightweight relational database can be used to build a practical, functional application that reduces manual effort, improves data accuracy, and supports better decision- making in a small to medium-sized pharmacy setting.

Cafe POS System

This project is about designing and making a desktop Cafe Point of Sale (POS) System. The system is developed with Python 3.14+, PyQt6, and SQLite3. Many small and medium cafes still use paper orders, paper bills, calculators, or simple spreadsheets. These methods can cause wrong calculations, slow orders, and stock shortages. To solve these problems, the system uses an event-driven design. This means the program waits for user actions, such as button clicks, and then runs the correct action. The system also separates the user interface, business services, and database parts so that the program is easier to manage and test. The main parts of the software are cafe menu and drink management, CRUD operations, order management, bill calculation, VAT and discount calculation, and stock updates. The system was tested to check that data is saved correctly, user input is checked, and calculations are correct. The final system is an offline solution for daily sales and POS work in small and medium cafes.

UP ICT intake 2 Assessment I

This project presents the design and implementation of a desktop-based Restaurant Management System developed using Python 3.11+, PyQt6, and SQLite3. Traditional manual ordering, paper-based billing, and unmonitored ingredient tracking in food service operations often lead to calculation discrepancies, order delays, and inventory shortages. To address these challenges, an event-driven architecture separates presentation layouts, business services, and database persistence layers. The software incorporates core modules: food and beverage catalog CRUD operations, real-time dining table status tracking, order line-item calculation (subtotal, VAT, and discounts), and transactional stock adjustments. System evaluation verified data persistence across relational tables and accurate execution of input validation safeguards and business calculations. The final deliverable provides small-to-medium restaurant establishments with an offline-capable, structured solution for operational workflows.