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Major Project · Web Development

Pet Disease Prediction System Project

PetCare AI is a Django-based web app for managing dog health records. Users can add pet profiles and enter observed symptoms. The system predicts possible dog diseases using a trained machine learning model. It also …

Difficulty Level
Advanced
Core Modules
0 Modules
Laptop frame

Project Overview

PetCare AI is a web-based pet disease prediction system designed to support dog owners in
monitoring and managing their pets’ health. The application allows users to create pet profiles, store
important details, and record symptoms whenever they notice changes in their dog’s condition.
The system uses a trained machine learning model to analyze the entered symptoms and predict
possible diseases. This helps users get an early indication of health issues before consulting a
veterinarian. The application also provides basic treatment suggestions and precautionary measures
to guide users responsibly.
In addition to prediction, PetCare AI maintains disease history for each pet, making it easier to track
previous health problems and treatment records. The integrated chatbot offers quick assistance for
general pet health questions, improving user interaction and accessibility.
Overall, PetCare AI aims to combine machine learning and web technology to create a simple,
useful, and organized pet healthcare support platform. It is not a replacement for professional
veterinary care, but it helps pet owners take timely action and keep better health records.

Module Breakdown 0 Modules

Complete Project Flow
Full module architecture and feature breakdown included in the abstract pack.

Technology Stack

Python HTML CSS3 Java Script Django

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Project Abstract

PetCare AI is a web-based pet disease prediction system designed to support dog owners in monitoring and managing their pets’ health. The application allows users to create pet profiles, store important details, and record symptoms whenever they notice changes in their dog’s condition. The system uses a trained machine learning model to analyze the entered symptoms and predict possible diseases. This helps users get an early indication of health issues before consulting a veterinarian. The application also provides basic treatment suggestions and precautionary measures to guide users responsibly. In addition to prediction, PetCare AI maintains disease history for each pet, making it easier to track previous health problems and treatment records. The integrated chatbot offers quick assistance for general pet health questions, improving user interaction and accessibility. Overall, PetCare AI aims to combine machine learning and web technology to create a simple, useful, and organized pet healthcare support platform. It is not a replacement for professional veterinary care, but it helps pet owners take timely action and keep better health records.

Project Kit Includes

Complete Source Code
Project Documentation
Synopsis & Report
PPT Presentation
IV Question Bank
Mock Viva Sessions
Deployment Guide
Completion Certificate

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