VADAPALLI VENKATESH

"A detail-oriented and technically proficient engineering graduate seeking a challenging role as a Administrator. Adept at troubleshooting hardware and software issues, managing IT ticket systems, and ensuring seamless operation of Windows, UNIX, and Linux environments. Committed to delivering efficient solutions and contributing to organizational success through strong problem-solving and communication skills."

1. Detection of disaster intensity :- Detecting disaster intensity we use different machine learning algorithms to find the intensity of any disaster and one of the algorithm is support vector machine. We take different samples from different areas from different disasters and by using that training samples we find the intensity of the disaster. The"Disaster Intensity Detection System" is a cutting-edge project in the field of computer science engineering aimed at leveraging advanced technologies to detect and assess the intensity of disasters in real-time. The project integrates principles of computer science, data analytics, and engineering to develop a robust and efficient system for disaster management.

2. Intelligent crop recommendation :- This projects details about the crop recommendations to the farmer by using different machine learning algorithms. We use training samples of different soils and model them how to get crop recommendations. The"Intelligent Crop Recommendation System" is an innovative project developed within the domain of Computer Science Engineering to assist farmers in making informed decisions about crop selection. By leveraging artificial intelligence, data analytics, and machine learning techniques, the system aims to provide personalized crop recommendations based on various factors such as soil quality, climate conditions, market demand, and farmer preferences.

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