• Engineered a comprehensive Government Grievance Project with a full-stack website, enhancing user and admin interfaces; streamlined grievance management, reducing response time by 40% and increasing user satisfaction by 30%• Revamped website display for cross-device compatibility, ensuring seamless user experience and boosting mobile sessions by 30%, resulting in a 15% rise in conversion rates.• Implemented a machine learning model that automated image metadata identification, reducing manual sorting time by 70% and improving workflow efficiency by directing relevant issues to appropriate departments within seconds.