Manuscript Number : SHISRRJ247268

The project aims to develop a machine learning-based flight price prediction system to address the growing need for accurate predictions in the dynamic travel industry. Leveraging historical data and advanced algorithms, the system endeavors to forecast flight prices with precision, considering factors like departure dates, airline selections, and historical pricing trends. The objective is to create a user-friendly interface allowing travelers to input their travel details, empowering them to make informed decisions about flight bookings. By providing reliable predictions, the system seeks to enhance the overall travel experience, benefitting both travelers and travel agencies. The project aligns with the trend of integrating machine learning into industries for improved decision-making, particularly in aviation, where accurate predictions can lead to enhanced customer satisfaction and operational efficiency. Success relies on high-quality, diverse training data to develop a robust predictive model.