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Evaluate the model's accuracy and performance.\n\n## Task 2: Emotion Recognition from Speech\nBuild a deep learning model for emotion recognition in speech audio. Utilize speech processing techniques to classify spoken sentences into emotions like happiness, anger, or sadness.\n\n## Task 3: Handwritten Character Recognition\nCreate a system for handwritten character recognition capable of identifying various characters or alphabets. Extend the system to recognize entire words or sentences for enhanced functionality.\n\n## Task 4: Disease Prediction from Medical Data\nDevelop a disease prediction model using classification algorithms to predict the likelihood of diseases based on medical data such as symptoms and patient history. Utilize labeled medical records datasets for training and evaluation.\n\nEach task presents an exciting opportunity to apply machine learning techniques and contribute to innovative projects. 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