Anemia, characterized by low hemoglobin levels, affects a significant portion of the global population, particularly children and women in low- and lower-middle-income countries. Traditional hematological tests for diagnosing anemia can be invasive, costly, and resource-intensive. This study presents the development of a wearable, non-invasive anemia detector utilizing infrared (IR) technology. The device integrates a NodeMCU microcontroller, an OLED display, a buck converter, an IR transmitter, and a receiver in a compact, wearable package. The IR system measures hemoglobin levels by analyzing the absorption of infrared light emitted through the skin, typically on a fingertip or earlobe. The NodeMCU processes the light absorption data using sophisticated algorithms to determine hemoglobin concentration and facilitates wireless data transfer to smartphones or cloud servers for further analysis. The device is designed with energy efficiency in mind, utilizing a buck converter to ensure optimal power distribution to sensitive components. The OLED display provides users with clear, real-time feedback on their hemoglobin levels, offering a user-friendly interface. Initial testing and calibration with known hemoglobin concentrations demonstrated strong correlations between device readings and traditional lab tests. The device employs a hierarchical ensemble classifier to categorize individuals as healthy, mildly anemic, or severely anemic, aligning with clinical standards. The non-invasive nature of this device, combined with its portability and cost-effectiveness, makes it an ideal solution for point-of-care anemia detection, particularly in resource-limited settings. The integration of IR technology, microcontroller processing, and wireless communication presents a practical tool for healthcare providers, facilitating rapid anemia screening and ongoing monitoring. This innovation holds the potential to improve patient outcomes by enabling early detection and intervention in anemia management.