To create an Artificial Intelligence based system to plan and execute movement of personnel on postings to various locations. The AI based model to be based on organisational/ personal requirements and career progression. reference data parameters of officer’s qualifications, tenure at location. and professional growth in order to ensure organisational as well as personal contentment 1.Human Resource Management (HRM) is a vital function of the IAF, as it involves attracting. developing and retaining the best talent. One of the challenges of HRM to plan optimal transfers of officers across different units, locations, and roles, based on their qualifications. performance and preferences. Postings help officers to gain new skills. experience, and exposure as well as to enhance their motivation, satisfaction, and loyalty. However, existing methods planning transfers are often manual, subjective, and sometimes inefficient resulting in the following problems: - (a) High costs in terms of manpower utilisation and spent on administrative tasks. such as collecting and analysing officers’ data, communicating with individual officers and relevant chain of command and coordinating the posting process. (b) Prevention of Low accuracy and fairness of posting decisions, as they may be influenced by human biases, errors or preferences, and may not consider all the relevant factors and constraints. (c) Poor outcomes and feedback from individuals, field & Cmd HQ as they may not be satisfied with posting decisions or may face difficulties in adapting to the new environment, role, or team 2 Therefore, the objective of this AI is to plan optimal postings of officers based on organizational/ personal requirements, qualifications and tenure. It should be able to ensure optimal career planning of the individual based on relevant orders, instructions and regulations while ensuring professional growth in the organization, Al should be able to execute following functions: - (a) Automate and streamline the posting planning process. by using advanced data processing and analytics techniques. such natural language processing machine learning. and optimization. (b) Improve the accuracy and fairness of posting decisions, by using objective and transparent criteria, and by considering multiple factors and constraints, such as organizational needs and goals, officers' performance, qualifications and preferences and relevant policies and regulations. (c) Enhance the outcomes and feedback from individual officers and organization as a whole, by providing personalized and timely recommendations and by supporting the posting implementation and evaluation, such as providing training, mentoring and feedback. A modular AI based system is required to undertake tasks based on historical data. policies, guidelines and individuals ability to achieve the tasks. The modules may be able to present dashboards present probable solutions, and present analysis of a specific movement on other locations. The software must be able to run on dummy data during developmental phase.