Rheumatoid Arthritis (RHA) presents a significant challenge in modern medicine. Despite advancements in modern medicine and preventive healthcare, Rheumatoid Arthritis (RHA) remains an unpredictable and largely undetectable disease in its early stages. This paper proposes a RHA prediction model framework to address this challenge. Our goal is twofold: to enable preemptive prediction of RHA and to empower patients diagnosed with RHA. The proposed solution is a comprehensive RHA management platform with various features, including preliminary risk assessment, risk analysis module, visual DAS 28 calculator, community support, and awareness. The system employs a comprehensive pipeline that includes image preprocessing, feature extraction, and an RHA prediction model, achieving improvisation in terms of accuracy.