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@article{164690,
        author = {Mrunal Rajiv Chavan and Chandni Sanjay Rana and Prof. Poonam Dharpawar},
        title = {SightSense: Enhancing Vision for the Blind, Where Sound Paints the World with Computer Vision and Voice Assistance},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {2360-2366},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164690},
        abstract = {SightSense AI represents a groundbreaking innova- tion aimed at enhancing the independence of visually impaired individuals by providing advanced navigation capabilities. Lever- aging the power of YOLOv4 for object recognition, coupled with Python Text-to-Speech (Pyttsx3) technology, SightSense AI offers real-time auditory feedback to users, enabling them to navigate and understand their surroundings more effectively. Beyond basic object recognition, SightSense AI serves as a comprehensive travel companion, facilitating navigation and exploration of unfamiliar environments. It excels in assisting users in safely navigating busy intersections, reading signs, and identifying currency notes. The application’s multifaceted functionalities significantly improve the independence and autonomy of visually impaired individuals, demonstrating the transformative potential of technology in transcending barriers and enhancing quality of life. The integration of Python Text-to-Speech technology ensures seamless communication of environmental information to users, further enhancing their ability to navigate independently. By bridging the gap between sound and vision, SightSense AI revolutionizes the way visually impaired individuals interact with their surroundings, ultimately promoting greater autonomy and inclusion in everyday life.},
        keywords = {YOLOv4, Pyttsx3, navigating, currency},
        month = {},
        }