Early Academic Pursuits
Mr. Tejasva Maurya is currently pursuing a Bachelor of Technology in Computer Science and Engineering at Shri Ramswaroop Memorial University (2021 – Present). His academic journey has been marked by outstanding achievements, including securing 88.88% in his intermediate education under the CBSE Board in 2021. From the beginning, he demonstrated a keen interest in artificial intelligence, deep learning, and computer vision, paving the way for his research contributions in these domains.
Professional Endeavors
Mr. Maurya has gained valuable industry experience through internships in data science and data analytics. As a Data Scientist Intern at DevTown (June 2023 – December 2023), he developed deep learning models, worked on NLP tasks, and optimized AI-based solutions. His exposure to neural networks, image classification, and Generative Adversarial Networks (GANs) enabled him to work on cutting-edge AI applications. Additionally, during his time as a Data Analyst Trainee at MedTourEasy (August 2023 – August 2023), he conducted data analysis, visualization, and statistical modeling, contributing significantly to data-driven decision-making.
Contributions and Research Focus
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Real-Time Vehicle Classification Using Deep Learning—Smart Traffic Management, published in Engineering Reports, Wiley (Scopus Indexed).
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Patient-Centric Healthcare, an accepted book chapter in Harnessing the Power of IoT-Enabled Machine Learning in Healthcare Applications (Nova Science).
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Artificial Emotional Intelligence for Psychological State and Mental Health Assessment, an upcoming contribution to Artificial Emotional Intelligence: Fundamentals, Challenges, and Applications (Bentham Science).
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Federated Learning-Based Approach for Crop Recommendation and Market Stability in Agriculture, featured in Federated Learning for Smart Agriculture and Food Quality Enhancement (Wiley).
Impact and Influence
Mr. Maurya’s work has had a significant impact in the field of real-time AI applications. His custom YOLOv8-based vehicle classification model, developed for real-time traffic monitoring, achieved a remarkable mAP50 of 89.7%, enhancing smart transportation systems. His gesture-based Human-Computer Interaction (HCI) system offers a novel way of interacting with devices using hand gestures. Moreover, his sentiment analysis model, which evaluates online articles, is a step forward in content evaluation using NLP.
Academic Citations and Recognitions
His contributions have been recognized in international journals, books, and conferences. His real-time vehicle classification research has been cited in multiple studies exploring the intersection of AI, transportation, and smart mobility. Additionally, his work on emotional AI and federated learning has garnered attention from researchers in psychological assessments and agricultural AI applications.
Technical Skills
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Programming Languages: Python
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Machine Learning & AI: Model development, fine-tuning, NLP, CNNs, GANs, Transfer Learning, Image Segmentation, Object Detection
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Deep Learning Frameworks: PyTorch
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Data Science Tools: Pandas, Scikit-learn, NumPy
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Computer Vision Technologies: OpenCV, Mediapipe, Haar Cascades, YOLO
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NLP Techniques: Text Processing, Text-to-Speech (TTS), Speech-to-Text (STT)
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Hugging Face Models: LLMs, Text-to-Image, Diffusion Models
Teaching and Mentorship
With a solid foundation in AI and deep learning, Mr. Maurya has actively engaged in mentoring and guiding peers in AI-based projects. His role at DevTown allowed him to work on industry-level AI applications, sharing his expertise with fellow researchers and aspiring AI professionals.
Legacy and Future Contributions
Mr. Maurya envisions a future where AI-driven technologies play a pivotal role in real-time problem-solving across industries. His contributions in traffic monitoring, sentiment analysis, and human-computer interaction showcase his ability to bridge research with real-world applications. He aims to expand his research on AI-driven automation, federated learning, and smart mobility solutions, ensuring a transformative impact in transportation, healthcare, and AI ethics. With a passion for innovation and deep learning, Mr. Maurya continues to push the boundaries of AI research, aspiring to leave a lasting impact on smart technology and automation.