Cloud application development for an AI powered project management product
Efficient project management relies on effective governance and the smooth creation of project documents. Many organizations face challenges due to manual and inefficient processes, causing delays, errors, and non-compliance with industry standards. The current lack of AI-driven project management software exacerbates these issues, leading to significant time investments by project managers and teams in document creation, impacting project goals and decision-making timelines. The objective of this project is to create a minimum viable product (MVP) of a project management software solution that leverages generative AI to intelligently create project management artifacts based on the nature of the project, its appropriate project lifecycle, user inputs, information, and documents.
Automate process to Training AI & Machine Learning Model for our application
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.
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.
AI-Enhanced Data Platform Pitch Deck for Renewable Energy
DDB Consultants Inc. seeks to develop a compelling pitch deck for an innovative AI-enhanced data capture and reconciliation platform tailored for the renewable energy sector. The platform aims to streamline data management processes, improve accuracy, and enhance decision-making capabilities for renewable energy companies. The project will require learners to apply their knowledge of AI technologies, data analytics, and renewable energy industry dynamics. The goal is to create a persuasive and visually appealing presentation that effectively communicates the platform's value proposition to potential investors. The pitch deck should highlight the platform's unique features, market potential, and competitive advantages, while also addressing potential challenges and solutions. - Understand the renewable energy service industry's pain point when it comes to data and information management - Identify key features and benefits of the AI-enhanced platform. - Research market trends and competitive landscape. - Develop a cohesive narrative for the pitch deck. - Design visually engaging slides that support the narrative.