The evolution of genome engineering technologies has transformed biomedical research, enabling precise and efficient modification of genetic material Doudna and Charpentier, 2014. Among these, CRISPR-Cas9 stands out as a revolutionary gene-editing tool, though it often requires extensive expertise and technical knowledge Cong et al., 2013; J. G. Doench et al., 2016. We propose GeneFix-AI, an Artificial Intelligence (AI)-driven platform for real-time prediction and correction of genetic mutations in non-human species. Developed using cutting-edge models inspired by recent advances at Harvard and Peking University Chen et al., 2021; Wu et al., 2020, GeneFix-AI integrates machine learning to predict mutations, design optimal guide RNAs, and evaluate editing outcomes. This system aims to automate the CRISPR-Cas9 workflow, making high-precision gene editing more accessible to researchers without extensive molecular biology backgrounds Liu et al., 2019. We present the system architecture, training methodology, and potential impact of GeneFix-AI in democratizing genome editing and accelerating discoveries in genetics.