Preeminent Technologies is Fostering Technological Advancements in Global Travel Sector through Building Innovative

Solutions in Canada. We are building an AI, Big Data Analytics, LLMs/Machine Learning enabled traveler-centric (comprehensive enterprise commercial) travel planning and travel booking platform.

We are developing programs and training automations in analyzing AI datasets, OpenAI, conversational and generative AI models, building automation for AI and LLM/ML model training, fine-tuning AI and LLM/ML models, and running automated test processes to validate results against real-time data, price, availability, and other parameters.

The machine-learning problem we are addressing revolves around optimizing search processes within the travel domain,

particularly when dealing with datasets sourced from multiple providers.

By the end of the project, students should demonstrate:

• Understanding of the available dataset
• Understanding of the latest AI / ML techniques
• Identification of ways in which AI / ML can be applied to our company
• Providing multiple versions of potential models

Final deliverables should include

• Development of datasets and automations to train Al models
• Collecting and analyzing data from Amadeus
• Enterprise API Al capabilities, setting up initial datasets
• Develop program and/or commands to automate processes to training Al/ML models
• Build simple user queries, execute test automations and validate test results, fix issues and re-run automations to optimize test results
• Training initial Al and ML models on collected datasets
• Update automation and datasets to fine tune test results iteratively
• Testing against gathered data sets, starting with basic automations (end to end process execution)
• Integrating Al models with the platform, perform final checks

Students will connect directly with us for mentorship throughout the project. We will be able to provide answers to questions such as:

• Our current products and applications of AI / ML
• The current data set and guidance in navigating it
• Current industry standard approaches to AI / ML
• Input on choices, problems or anything else the students might encounter.