In Pakistan and South Asia, consanguineous marriages account for 60% to 70% of total unions. This elevated rate of endogamy significantly increases the risk of severe autosomal recessive genetic conditions in offspring, including Beta-Thalassemia Major, Spinal Muscular Atrophy (SMA), Congenital Hearing Loss, and Cystic Fibrosis. Despite the high disease burden, pre-marital genetic counseling infrastructure remains critically scarce. SehatGene (صحت جین) is an AI-driven clinical decision-support and genetic risk screening platform specifically engineered for Pakistani populations. The platform combines kinship genetics with localized epidemiological data to calculate the Inbreeding Coefficient ( F F) alongside Bayesian carrier probabilities across five major ethnic cohorts (Punjabi, Pashtun, Sindhi, Balochi, and Muhajir). SehatGene categorizes child disease risk into actionable severity tiers and generates bilingual (Urdu and English) clinical counseling reports. Furthermore, it automatically routes families to the nearest regional diagnostic center (such as AFIP Rawalpindi or Aga Khan University Hospital) for pre-marital HPLC blood testing. Built to run entirely on lightweight CPU hardware with zero GPU dependencies, SehatGene democratizes access to life-saving genetic risk awareness and pre-marital diagnostic intervention.
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