Cashew Factory Coordination System integrated with Real-Time Monitoring and Automation

The real problem for the Cashew Industry is small and medium-sized factories efforts to manage processing, inventory, workforce, and financial operations. Inefficiencies, errors and absence of real-time insights are usually the outcomes of using traditional manual record keeping methods. In order to overcome these challenges, this paper proposes an integrated digital solution as the Cashew Factory Coordination System (CFCS) that aims to automate the principal factory activities. Developed in Python for data processing and MySQL for secure database management, CFCS allows users to track cashew processing, employee attendance, salary calculation, and financial expenditures in real-time. It includes an interactive Admin Dashboard, role-based authentication, and operation analytics to support decision-making. It is designed using modular architecture where Tkinter is used for Graphical User Interface (GUI) design and the built-in Python SQL libraries or SQLAlchemy are used for interactions with the database. The system includes saving the records generated into a cloud storage like Google Drive providing system automation. By providing built-in measurement analytics, system improves efficiency, reduces manual error and creates data transparency allowing factory admins to monitor their workflow and make data driven decisions. CFCS plays a potent role here, significantly enhancing resources and productivity in cashew factories by giving a structured automated way.