topic- Newer approaches to diagnosis of parasitic infections

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This research explores innovations in parasitic infection diagnostics, emphasizing veterinary health. It evaluates traditional methods, highlights the integration of AI-driven systems like CNN for helminth detection, and delves into real-world implementation in resource-constrained areas. A case study in the NEH region demonstrates AI efficacy with 96.16% accuracy. Key components include an efficient CNN architecture, a PHP-based smartphone interface, and real-time predictions. Future...