This bill aims to prevent the award of federal grants based on duplicative or fraudulent applications. It specifically prohibits executive agencies from awarding a grant if the applicant has already received another grant from a different agency for the same or identical purpose, though this duplication prohibition does not apply to institutions of higher education. Furthermore, agencies are explicitly forbidden from awarding grants to applicants who have submitted a fraudulent application. To enforce these prohibitions, the bill directs the Director of the Office of Management and Budget (OMB) to establish an electronic system within one year. This system will enable executive agencies and their Inspectors General to determine if an applicant has received or applied for another grant for the same or identical purpose across different federal agencies. The system must include key details such as the awardee's name, principal investigator, award period, agency contact, and an abstract of the project. Beyond general grants, OMB is also tasked with creating a separate electronic system for all federal research awards to identify "essentially equivalent work." This system will help determine if substantially the same research is proposed or funded across multiple applications or agencies, regardless of the funding source. Finally, the bill requires OMB to consult with other agencies and submit a report on the feasibility of leveraging artificial intelligence to rapidly identify duplicative federal grant applications, as well as waste, fraud, and abuse.