Efficient software effort estimation plays a pivotal role in project management, aiding in resource allocation, scheduling, and overall project success. Traditional methods often rely on historical data and statistical models, which may fall short in capturing the dynamic nature of software development projects. This paper introduces a pioneering strategy that harnesses the capabilities of Artificial Intelligence (AI) and UI technologies to elevate precision and dependability. Integrating AI into software effort estimation involves deploying adaptive ML algorithms that analyze historical project data, code repositories, and team dynamics. These algorithms continuously improve their predictive capabilities over time, adapting to changing project parameters. Additionally, a User Interface enhances user experience, facilitating natural language interactions for easy input of project details and instant estimate retrieval by project managers, developers, and stakeholders.