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PAWPAL: AI-Based Pet Health Assistance System Using Image-based Disease Detection and NLP Symptom Analysis
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2025
Jahr
Abstract
Early identification of health problems in pets is generally hindered by the unavailability of immediate veterinary services and a low level of awareness among pet owners. Presenting here is PAWPAL, a pet health support system powered by AI, which combines image-based disease classification and a natural language-based symptom analyzer. The system makes use of Convolutional Neural Networks (CNN) to diagnose common skin diseases in dogs and cats from the images provided by the users. Moreover, the text-based symptom checker figures out the condition's severity and suggests care instructions. The frontend was built with React (Next.js), and the backend was developed in Flask, the integration of TensorFlow models and an AI reasoning module were done.The test performance results showed that the model for diagnosing dog skin diseases was 93% accurate, while the model for diagnosing cat skin diseases 80% accurate. The system offers help to users in real-time, thus the delays in diagnosis are lessened and the accessibility to the first veterinary guidance is improved.
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