The expansion of wind energy presents both opportunities and challenges, particularly regarding its impact on bird populations. This paper introduces a full-stack platform designed to integrate bird monitoring data with wind resource assessments. The platform employs a microservices architecture, combining data from external sources and governmental wind exclusion zones. Also, artificial intelligence models to analyze bird activity and flight patterns are incorporated. Additionally, IoT-based monitoring systems provide real-time data from strategically placed cameras and microphones. The aim is to support decision-making processes regarding wind farm placement while ensuring minimal impact on bird populations. The paper discusses the platform itself, inquiring into the architecture, data integration, and preliminary results from a mid-stage research and development phase of the platform.