11/11/2025
Assessment of voice for Internship on AI.
1. Introduction to AI in Healthcare: Begin with a broad overview of how AI is transforming the healthcare industry, especially in diagnostics and personalized medicine with assessment of speech sound.
Awareness of puberphonia and other voice problems
2. Voice Analysis Fundamentals: Explain the basics of voice analysis, like how vocal patterns can indicate health conditions, and why AI is particularly well-suited for this.
1650 voice bank
3. Case Studies and Data: Share examples from your own work, highlighting how AI has improved accuracy, efficiency, and early detection in puberphonia and other vocal conditions.
AI platform
4. AI Models and Tools: Introduce them to the types of AI models used in voice analysis, like neural networks, deep learning, and natural language processing. You could also showcase some open-source tools or platforms.
Siva ent hospital facilitate project
5. Hands-on Projects: Suggest specific project ideas where students can apply AI to analyze voice samples, perhaps developing models that detect specific conditions or monitor treatment progress.
Medical institute with lot of book and research paper published
6. Ethical and Practical Considerations: Discuss the ethical implications, data privacy, and the importance of accuracy in AI models.
Dissertation collaboration
7. Collaboration Opportunities: Highlight how working on these projects can open doors for interdisciplinary collaboration, and potentially lead to impactful healthcare solutions.
Medical guide for research
8. Mentorship and Guidance: Offer to mentor them or provide resources, data sets, and tools to help them get started.
With these steps we can work together in the potential of AI for voice assessment!
