Harikumar Pallthadka

Papers

Total Citations

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About

Harikumar Pallthadka is an emerging researcher in the field of artificial intelligence and deep learning, with a focused interest in computer vision and natural language processing. His most notable contribution to date is the development of a deep learning model for automatic image captioning, which integrates Gated Recurrent Units (GRU) with an attention mechanism. This work, published in 2024, addresses the complex challenge of generating coherent textual descriptions from visual data, enhancing the interpretability of AI systems. While his citation count is currently modest at three, the paper represents a significant step in bridging visual perception and language generation, areas critical for assistive technologies and content automation. Pallthadka’s research is published in The International Journal of Computer Science Engineering and Its Research Trends (IJCERT), a peer-reviewed, open-access platform that disseminates high-quality work in computer science engineering. As an early-career scholar, his work signals a promising trajectory in advancing multimodal AI, with potential applications ranging from autonomous systems to human-computer interaction. His contributions are particularly relevant for students and researchers exploring efficient neural architectures for real-world image understanding tasks.