Previous Projects

Automated Report Generation System: Python scripts collect and process raw data from various sources, storing the results in an SQL database. A web app built with HTML allows users to input parameters for reports, and the system automatically generates detailed reports and visualizations based on real-time data for improved decision-making.

Inventory Management System: A web-based data entry platform allows employees to log inventory changes, and Python scripts monitor stock levels, automatically generating purchase orders when supplies run low. SQL databases store all inventory data, ensuring historical records and trends can be analyzed for optimized inventory control.

IoT Data Monitoring System: A Python-powered back-end can collect data from IoT sensors, storing it in an SQL database for real-time monitoring. A web app provides users with a dashboard that visualizes the data, sending alerts when abnormal readings are detected, helping users take proactive action.

Quality Control System: Users enter inspection data through a web-based HTML interface, recording measurements, test results, or defect counts for products in real time. These values are stored in an SQL database for tracking and historical reference. Python scripts then analyze the entered data against predefined quality standards and thresholds, instantly identifying any deviations or issues. Based on this analysis, the system provides immediate feedback, offering corrective actions or adjustments that need to be made in the production process.