The proposed system, TeachSmart: A Real-Time, OCR-Integrated Cloud-Based Teaching Analytics Dashboard, isdesigned to modernize classroom management by automating the collection and analysis of teaching and learningdata. Byintegrating Optical Character Recognition (OCR), the system converts handwritten or printed documents, such as attendancesheets, assignments, and exam records, into digital form. This ensures fast, accurate, and error-free data entry, reducingthemanual workload of teachers and enabling seamless integration of student information into a centralized system. TeachSmart leverages cloud technologies to provide scalability, security, and multi-device accessibility. Teachers canaccessdashboards in real time to monitor attendance patterns, academic performance, and participation levels. Machine learningmodels further enhance the system by predicting student outcomes and identifying at-risk learners early, allowingteacherstointervene effectively. The interactive dashboard uses data visualizations such as charts and heatmaps to present actionableinsights, supporting informed decision-making in classrooms. In addition, the system promotes flexibility and inclusivity by enabling remote access, making it suitable for bothphysical andhybrid classrooms. With its integration of OCR, cloud storage, and analytics, TeachSmart offers a comprehensive,userfriendly, and scalable solution to support data-driven education. Ultimately, the system enhances efficiency, improvesstudent monitoring, and empowers educators to make timely interventions for better learning outcomes. Keywords: OCR Integration, Cloud Computing, Teaching Dashboard, Real-Time Analytics, Machine Learning, StudentPerformance Monitoring