{"id":42007,"date":"2026-06-21T11:19:36","date_gmt":"2026-06-21T11:19:36","guid":{"rendered":"https:\/\/sode-edu.in\/smvitm\/?p=42007"},"modified":"2026-06-21T11:19:36","modified_gmt":"2026-06-21T11:19:36","slug":"ai-based-system-for-early-detection-and-diagnosis-of-urinary-tract-infections-developed-by-ai-ds-students","status":"publish","type":"post","link":"https:\/\/sode-edu.in\/smvitm\/news-2\/news\/ai-based-system-for-early-detection-and-diagnosis-of-urinary-tract-infections-developed-by-ai-ds-students\/","title":{"rendered":"AI-Based System for Early Detection and Diagnosis of Urinary Tract Infections Developed by AI &#038; DS Students"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft  wp-image-42008\" src=\"https:\/\/sode-edu.in\/smvitm\/wp-content\/uploads\/2026\/06\/photo-1.webp\" alt=\"\" width=\"655\" height=\"352\" srcset=\"https:\/\/sode-edu.in\/smvitm\/wp-content\/uploads\/2026\/06\/photo-1.webp 1379w, https:\/\/sode-edu.in\/smvitm\/wp-content\/uploads\/2026\/06\/photo-1-300x161.webp 300w, https:\/\/sode-edu.in\/smvitm\/wp-content\/uploads\/2026\/06\/photo-1-1024x550.webp 1024w, https:\/\/sode-edu.in\/smvitm\/wp-content\/uploads\/2026\/06\/photo-1-768x413.webp 768w\" sizes=\"auto, (max-width: 655px) 100vw, 655px\" \/>Students Pallavi Rathod, Pooja, Deeksha, and Anushvitha from the Department of Artificial Intelligence and Data Science at Shri Madhwa Vadiraja Institute of Technology and Management (SMVITM), Bantakal, have developed an innovative Artificial Intelligence (AI)-based system for the early detection and diagnosis of Urinary Tract Infections (UTIs).<\/p>\n<p>The project was undertaken under the guidance of Dr. Ganesha Prasad and aims to improve the accessibility and efficiency of UTI screening. The student team utilized a comprehensive urinalysis dataset comprising more than 80,000 patient records to train advanced machine learning and deep learning models capable of accurately predicting the likelihood of urinary tract infections.<\/p>\n<p>To enhance usability and healthcare accessibility, the system has been integrated with an intelligent chatbot that provides personalized health guidance, preventive recommendations, and awareness regarding UTIs. The chatbot assists users in understanding potential risks and encourages timely medical consultation when necessary.<\/p>\n<p>The AI-driven solution has the potential to make UTI screening faster, more affordable, and widely accessible, particularly benefiting individuals in rural and resource-constrained regions where access to healthcare services may be limited.<\/p>\n<p>This achievement reflects SMVITM&#8217;s commitment to fostering innovation, research, and technology-driven solutions that address real-world societal and healthcare challenges. The project also showcases the capability of SMVITM students to leverage Artificial Intelligence and Data Science for developing impactful applications in the healthcare domain.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Students Pallavi Rathod, Pooja, Deeksha, and Anushvitha from the Department of Artificial Intelligence and Data Science at Shri Madhwa Vadiraja Institute of Technology and Management (SMVITM), Bantakal, have developed an innovative Artificial Intelligence (AI)-based system for the early detection and diagnosis of Urinary Tract Infections (UTIs). The project was undertaken under the guidance of Dr.<\/p>\n","protected":false},"author":1,"featured_media":42008,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[56,303,58,33,161,59],"tags":[],"class_list":["post-42007","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-accomplishments","category-ai_ds-news","category-gallery","category-news","category-news-2","category-photos"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.9 - aioseo.com -->\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"admin\"\/>\n\t<meta name=\"google-site-verification\" content=\"A1zvkPzV5ebiBgWwaUaAWH9s_apIlhrreP02qD0exKo\" \/>\n\t<link rel=\"canonical\" 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