Abstract: Artificial Intelligence (AI) has revolutionized the way humans interact with machines by creating systems that can understand and respond to natural language. This paper presents the design and implementation of a simplified, cost-effective conversational AI prototype named “MindMesh.” The objective of this research is to develop a local, real-time AI assistant that utilizes natural language processing (NLP), speech recognition, and pseudo-holographic projection to enable a screenless conversational experience.
Unlike advanced systems requiring high-end computation or expensive sensors, MindMesh demonstrates that intelligent interaction can be achieved using affordable tools like Python libraries, Raspberry Pi, and mini projectors. The model is designed primarily for educational demonstration, research, and practical exposure to AI concepts within limited resources. The paper also explores AI integration techniques, display mechanisms, and implementation challenges encountered during the prototype’s development.
Keywords: ai Engineering, Touchable Holograms, Screenless Display, Volumetric Display, Holographic Interface, Mid-Air Interaction, Natural Language Processing (NLP), Human-Computer Interaction (HCI), Laser Projection Technology.
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DOI:
10.17148/IJARCCE.2025.141152
[1] Farendrakumar Shrawan Ghodichor, Aditya Patil, Satyam Ghugarkar, Pranay Shinde, Keshav Gange, "AI Engineering in the Making of Next-Generation Conversational System," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141152
