AFSA PARVEEN SHAIK

Responsible and motivated student ready to apply education in the workplace. Offers excellent technical abilities with software and applications, ability to handle challenging work, and excellent time management skills.

• Cyber Securtiy Virtual Internship by Eduskills
• AI-ML Virtual Internship by Eduskills

• Real-Time Disease Detection and Monitoring for Prawn Farming

This project aims to develop a system for detecting prawn diseases using machine learning and IoT sensors. By integrating water quality monitoring and image analysis, the system aims to improve prawn health and reduce antibiotic use in aquaculture. The project will use machine learning models for disease detection and prediction, integrate IoT sensors and image processing techniques for data collection and analysis, and create a web-based interface for real-time monitoring and decision support. Overall, the project aims to contribute to sustainable aquaculture practices by enabling early disease detection and reducing environmental impact.

• Adaptable and Flexible
• Problem Solving
• Time Management