Applied AI and Human-Centered Systems Internship

About Internship

Assistant Professor from Alliance University, Bangalore, is accepting interns interested in the field of Computer Science Engineering, in the research area of Artificial intelligence and Machine learning.

This internship focuses on exploring hybrid approaches to artificial intelligence that combine real-world human interactions, physical environments, or contextual data with AI-driven systems. The aim is to bridge the gap between theoretical AI models and their practical, real-life applications by designing intelligent systems that are more interactive, adaptive, and human-centered. During the internship, students will work on identifying real-life problem scenarios and translating them into AI-enabled solutions. Emphasis will be placed on understanding how AI models interact with users, environments, and real-world constraints, and how such systems can be designed to be intuitive, ethical, and effective. During the internship, students will: 1. Design and develop user interfaces (UI) for AI-driven applications. 2. Identify and define real-world use cases where hybrid AI systems can be applied. 3. Conduct experiments to evaluate the interaction between AI models and real-life inputs or user behavior. 4. Assist in testing, refining, and analyzing system performance based on experimental outcomes. 5. Document observations, experimental results, and insights for reports or potential research outputs. 6. Participate in regular review discussions with the mentor to refine ideas and system design. By the end of the internship, students will gain: 1. Practical exposure to designing AI systems that integrate real-world contexts and human interaction. 2. Hands-on experience in UI development, experimental design, and applied AI workflows. 3. Improved understanding of how AI solutions are deployed beyond theoretical models. 4. Research and problem-solving skills relevant to industry and academic AI projects. 5. Experience that strengthens profiles for careers in AI, human-centered computing, and intelligent systems design.