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@article{180458,
        author = {Tanushree H S and Sujatha and Prithu H S and Yuktha P Achar and Mr.Keerthi K S},
        title = {An AI-Based Visual and Voice-Controlled   Inventory System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {1242-1249},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180458},
        abstract = {This paper presents a Smart Inventory Management System integrating computer vision and voice recognition technologies to automate inventory operations for small retail businesses. The system employs YOLO (You Only Look Once) for real-time product identification and speech recognition for hands-free operation. Implementation results show significant improvements in operational efficiency, with manual data entry reduced by 87% and inventory accuracy improved by 94%. Product recognition achieved 91.3% accuracy and voice command recognition 89.7% accuracy in real-world testing. This research provides a practical, cost-effective solution for small business digitalization.},
        keywords = {Artificial intelligence, computer vision, inventory management, retail automation, speech recognition, YOLO.},
        month = {June},
        }