Students' Projects
Age and Gender Prediction Through Dental X-ray Imaging: An AI Based Approach
| Department | Information Technology |
| Year | 2024-25 |
| Budget | 7000 |
| Students | Payal Bhansali, Aditi Jadav |
| Mentor | Dr.V.D.Patel |
| Abstract | Utilizing AI and ML techniques, a model is being developed to predict age and gender in mass accidents. This model harnesses extensive datasets to enhance accuracy. By integrating deep learning architectures like neural networks with fuzzy logic and ensemble methods, it ensures robust predictions. The large dataset enables comprehensive learning, capturing diverse demographic variations for precise age and gender estimation. This approach optimizes resource allocation and enhances disaster response protocols by facilitating rapid victim identification. Collaborative efforts in data collection and algorithm refinement are pivotal, ensuring the model's effectiveness in real-world scenarios, ultimately aiding forensic experts and humanitarian organizations in mass casualty incidents. |