The philanthropic sector faces persistent challenges in transparency and accountability that fundamentally undermine donor trust. While blockchain technology offers an immutable transaction ledger, it cannot inherently verify whether donated funds achieve their intended real-world impact. This paper presents a novel decentralized application that addresses this critical gap through the integration of Ethereum Smart Contracts with an AI-driven auditing pipeline. The system introduces a milestone-based fund release mechanism requiring NGOs to submit vendor invoices as documentary proof of expenditure. These documents undergo Optical Character Recognition followed by credibility assessment using Google Gemini, a Large Language Model that performs semantic analysis of financial documents. A two-thirds multi-signature consensus by platform administrators authorizes direct on-chain payments to verified ven dors. The primary innovation lies in bridging the oracle problem through automated AI verification of off chain documentary evidence controlling on-chain fund disbursement. Experimental validation demonstrates that this hybrid approach effectively automates credibility verification while ensuring every released fund is backed by verifiable evidence, achieving significant performance improvements in fraud detection and accountability enforcement compared to purely manual or purely blockchain-based systems.