UG Projects Guided

G1-Video (1).mp4

Automatic Medical Disease Prediction

This video showcases the functionality of an innovative system designed to assist in medical diagnosis. Witness how advanced algorithms analyze symptoms or medical images to predict potential diseases accurately and efficiently. The user-friendly interface and precise predictions make healthcare accessibility easier and more effective. Watch the video to see the system in action and discover how it revolutionizes medical diagnosis.

Group Members : Rucha Bachal, Rohan Chaudhari, Ashish DhaneFinal Year, Btech IT 2023-24

selenium.mp4

Selenium Installation Guide and Amazon Book Search Demo

Learn how to install Selenium, a powerful automation tool for web testing, with this step-by-step guide. Follow along as the demonstration walks you through the process of setting up Selenium on your system. Then, witness a practical demonstration as the tool opens Amazon.in and searches for software testing books. Gain valuable insights into Selenium's capabilities and how it can streamline web testing processes

Copy of JIRA FOR SOFTWARE TESTING.mp4

Guide on utilizing Jira as a Software Testing and Project Management Tool

Learn how to utilize Jira, a project management software empowered by Atlassian, also a powerful tool for bug tracking for software testing, with this step-by-step guide. Follow along as the demonstration walks you through the process. Then, witness a practical demonstration as the tool is cofigured to track bugs, create tasks and issues. Gain valuable insights into Selenium's capabilities. Do delve into it and learn in 10 mins how to start with Jira.

Intelligent Water Demand Prediction Project.mp4

Intelligent Approaches to Water Demand Forecasting using Machine Learning

The increasing scarcity of water, driven by population growth, unpredictable rainfall, and climate change, poses a significant challenge to water resource management. Traditional methods based on simple trend forecasts often fall short in providing accurate, actionable insights. This project based on ML is designed to support resource sustainability and ecological balance, the framework aids stakeholders in optimizing water supply, minimizing wastage, and enhancing preparedness for droughts, floods, and other water-related emergencies. Ultimately, this work contributes to promoting environmental responsibility and ensuring the resilience of future water systems.

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