During the development of our smart meter project, we encountered several challenges that required innovative solutions. One major issue was ensuring real-time data handling, as delays in fetching data from the Raspberry Pi caused inconsistencies in live readings. We optimized API calls and reduced unnecessary network requests to improve responsiveness. Another challenge was achieving accurate power consumption calculations. Since we used the ACS712 sensor for current measurement and assumed a fixed voltage, minor variations led to discrepancies. To address this, we implemented voltage calibration and power factor adjustments to enhance accuracy. Additionally, displaying power usage trends on the web dashboard was problematic, as the graph sometimes failed to update correctly or scale properly. We resolved this by fixing chart dimensions, improving responsiveness, and formatting data correctly. Managing prepaid balance was also tricky; initially, the balance deductions and recharges did not reflect properly. We fixed this by ensuring persistent balance storage and real-time updates on the UI. Furthermore, remote power control via the dashboard faced network latency and occasional command failures. By implementing status verification mechanisms and retry logic, we ensured reliable execution of power toggling commands. Despite these challenges, continuous debugging, testing, and optimizations helped us build a fully functional, real-time smart energy management system that is efficient, user-friendly, and practical.