AI integration in software project management is crucial to compete and innovate. In this paper, an AI integrated SDLC framework is proposed to enhance efficiency and problem-solving. The proposed solution is a strategic transformative approach to enhance planning and estimation, strategic workflow automation, decision support, collaborative intelligence, quality control, resource optimization, visualization, risk and knowledge management. The model comprises of user interface layer, AI service layer, AI core layer and data management layer. The proposed model demonstrated better performance, with XG Boost achieving 95.0% accuracy in defect detection, 90.3% in resource allocation and 90.5% in process optimization, outperforming random forest algorithms across all tasks. XG Boost outperforms the random forest with respect to all the performance metrics.