Prof. Dr. Hjh. Raja Suzana Binti Raja Kasim, Nurul Afiqah Binti Zulazli, Muhammad Adam Bin Zulazli, Muhammad Adib Bin Zulazli, Nurul Aleisya Binti Zulazli, Muhammad Izzul Affiq Bin Zulazli, Dr. Mohammad Ashraful Mobin
Description of Invention
The AI algorithm is proposed based on the data acquisition about the donation fund acquired, such as charity (Sadaqah), endowment (Waqf), and alms (Zakat) to the donation collecting institution through the processor to generate the set of quantitative data reports. The AI algorithm detects, prescribes, and forecasts the current and future donation funds acquired. A social donation fund profile is developed to offer prospects to the beneficiaries in terms of economy, education, and employment to the beneficiaries. Sustainable funding is created using an artificial intelligence system. There is a need to assist social enterprises in accessing financial markets and prescribing the right solution at various social inclusion and entrepreneurial financing stages. The system offers better access to a broader variety of data, increased computing power, greater demand for improvements in efficiency, and economic growth. The outcomes evaluate the need to understand social inclusion and matching specific financing for specific social enterprises with worthy credit assessment. Thus, the AI-powered platform will bring new insights where the traditional understanding of shariah knowledge is presented in a robovisory platform and offer credit risk assessment using AI. Adopting AI results has proven to provide objective, better-informed, faster (backed by data) knowledge on social inclusion. This method responds to the ihsan aspect in the MADANI framework, SDG 8 on decent work opportunity and economic development, SDG 9, 10, 12, and 16, while in line with the Shared Prosperity Vision 2030 set in KEGA 3. Addressing entrepreneurialism values, this method responds to SDG 8 on decent work opportunity and economic development, SDG 9, 10, 12, and 16 while in line with the Shared Prosperity Vision 2030 set in KEGA 3.