At just 12 years old, Nag Shivani Puram has already achieved something remarkable—she's developed an Artificial intelligence (AI) project aimed at detecting the early onset of Alzheimer's disease and brain tumors. As a junior in high school already, Shivani’s work is not only a testament to her talent but also her commitment to making a meaningful impact in healthcare.

The AI  project leverages cutting-edge machine learning techniques, particularly deep learning, to analyze medical imaging data for early signs of Alzheimer's disease and brain tumors. The project is based on the integration of two powerful types of neural networks: Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).

Future Directions

Looking ahead, Shivani plans to continue refining her model and exploring additional avenues for its application with her team. She is particularly interested in integrating multimodal data, such as combining MRI and PET scans with genetic information, to improve the model’s predictive power. She also hopes to collaborate with medical professionals to test her model in clinical settings, with the ultimate goal of making her tool available for use in hospitals and clinics.

Additionally, Shivani is eager to share her work with the broader AI and medical communities. She has already begun writing a research paper detailing her methodology and findings, which she plans to submit to conferences and journals.