• Dr.D.Veerabadhra Babu
• Ediga Kedhari
• Uppala Kavya
• Kottidinti Lahari

The construction industry, a driving force behind societal development, relies on efficient daily work activities, including supply deliveries, to meet project demands. Contractors, as key players in this industry, often grapple with challenges in tracking and managing supplies, a process made even more complex for those with visual impairments. This project is intrinsically motivated by a deep commitment to improve the work management experience for contractors. Our goal is to offer an innovative and accessible solution that streamlines the data entry process while enhancing accuracy and efficiency. The core innovation of this project lies in its utilization of speech recognition technology to convert voice messages into text, thereby simplifying data entry. The generated textual data is stored systematically in Excel format, providing a foundation for robust data categorization and easy retrieval. Data categorization is further augmented by organizing supply data based on laborers and work types, enabling efficient management and analysis. On-demand daily summaries of supply activities are a standout feature, offering contractors a convenient overview of the day's work. To enhance data security, the application extends its functionality to provide data backup through email reports.

Voice Recognition, Web Application, Data Storage, Categorization, Summarization, Accessibility, Email Reports, Streamlit.

"VOICE-ENABLED SUPPLY AND LABOR MANAGEMENT WEB APP FOR CONTRACTORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.162-166, December-2023, Available :http://www.jetir.org/papers/JETIRGA06018.pdf

"VOICE-ENABLED SUPPLY AND LABOR MANAGEMENT WEB APP FOR CONTRACTORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. pp162-166, December-2023, Available at : http://www.jetir.org/papers/JETIRGA06018.pdf