• Gundaram Anushka
• Kankanala Srija
• Srungarapu Sahithi
• Varkala Pramila
• Bollam Vaishnavi

In many nations, workplace safety is a serious problem. Among all industries, the construction industry is thought to have the riskiest workplace conditions. Accidents at construction sites cause enormous financial loss in addition to human misery. Analysis of accidents is crucial for developing scientific risk control strategies and preventing the recurrence of similar mishaps in the future. For earlier incidents in the construction business, there exist summaries of the catastrophe and fatality investigation reports. Since dangerous objects are one of the main causes of construction accidents, spotting them and analyzing them using Machine Learning and Natural Language Processing to find what went wrong in the past from accident reports can help prevent future mishaps.

Accident, Natural Language Processing, Machine Learning, Text Pre-processing

"Construction Site Accident Analysis using Natural Language Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.g640-g642, May-2023, Available :http://www.jetir.org/papers/JETIR2305693.pdf

"Construction Site Accident Analysis using Natural Language Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppg640-g642, May-2023, Available at : http://www.jetir.org/papers/JETIR2305693.pdf