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@article{194153,
        author = {Mohit Gavhane and Shrijit Choudhari and Saumya Koche and Lavanya Rane},
        title = {Artificial Intelligence: Techniques, Applications, Challenges, and Future Directions},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {2514-2524},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194153},
        abstract = {Artificial Intelligence (AI) is increasingly shaping modern life through technologies such as chatbots, recommendation engines, automated diagnostics, and intelligent transportation. This paper provides a student-focused exploration of AI techniques, applications, ethical considerations, and emerging trends. Core AI methods—including Machine Learning, Deep Learning, Natural Language Processing, Reinforcement Learning, and Computer Vision—are discussed in simple terms. Alongside a literature review, a survey was conducted among undergraduate engineering students to evaluate their awareness and understanding of AI concepts. Results show that while students recognize AI applications, practical exposure is limited, and awareness of ethical issues like bias, transparency, and data privacy is low. The paper emphasizes hands-on learning, ethical education, and responsible AI use. Visual explanations and simplified descriptions are used to make complex topics accessible to beginners, bridging the gap between theory and practice.},
        keywords = {Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Reinforcement Learning, Computer Vision, AI Applications, Ethical AI, AI Awareness},
        month = {March},
        }