Backend AI API development and third party API Integration

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. Segment 1: As back-end developers, the intern resources will be responsible for developing and maintaining cloud-based azure functions, backend-APIs using .Net 8, C#, Azure, and Enterprise APIs. These resources will collaborate with cross-functional teams to design, develop, and implement scalable, secure and cloud hosted solutions. Additionally, the resources will participate in code reviews, troubleshoot system issues, and contribute to continuous improvement initiatives. Segment 2: 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. I wanted to reach out to explore potential collaboration opportunities for us to support development activities and would welcome the opportunity to connecting with your team on this initiative to discuss further details. Required Expertise Skills: The ideal candidates will have strong background in software development, cloud platforms, SDLC concepts, clean architecture approach, and possess the technical skills necessary to integrate various APIs and modern technologies seamlessly. We are looking to fill in the role of technical intern resources as intermediate backend developers, will be responsible for developing and maintaining cloud-based application using .Net 8, C#, Azure OpenAI service, and Enterprise API integrations.

Automating Customer Inquiry Translation to PostgreSQL Queries Using LLMs

The goal of this project is to develop a system that utilizes large language models (LLMs), such as ChatGPT, to accurately translate customer inquiries into PostgreSQL queries. This system aims to streamline data retrieval and analysis processes, reducing the time and effort required by staff to interpret and respond to customer requests.

Cross-Platform Mobile App Image Processing Enhancement

Add to an existing Flutter app advanced image processing capabilities. The project consists of several steps: Integrate OpenCV into the Flutter app Implement object recognition (circle) Implement minor amendments to the app flow based on the developed functionality (e.g. auto-capture)

Healthcare Camp Data Collection Mobile App

Data Care LLC aims to streamline the process of patient registration and data collection during healthcare camps by developing a mobile-based application. The current manual process is time-consuming and prone to errors, leading to inefficiencies and data inaccuracies. The goal of this project is to create a user-friendly mobile app that allows healthcare professionals to efficiently register patients, collect health questionnaires, and gather essential data in real-time. This app will ensure that patient information is securely stored and easily accessible, improving the overall efficiency and effectiveness of healthcare camps. The project will provide learners with an opportunity to apply their knowledge in mobile app development, user interface design, and data security.