Ankit Dhir

Explainable AI: Developing transparent AI systems for better interpretability. Natural Language Processing: Creating algorithms for better human language understanding. Computer Vision: Building algorithms for improved visual data analysis and interpretation. Reinforcement Learning: Developing models for machines to learn from their experiences. Ethics in AI: Exploring ethical implications of AI and ensuring responsible and ethical use. Deep Learning: Developing more advanced neural networks and deep learning models.