Wearable Artificial Intelligence Takes a Personal Form Through an Affordable Portable AI Device
Can artificial intelligence be made small enough to become a personal, wearable companion?
Kolkata-based Electronics and Communication Engineer and technology enthusiast Niladri Banerjee is exploring that possibility through a portable AI multimodal locket designed to bring artificial intelligence closer to everyday human interaction.
The experimental device combines compact electronics, voice interaction, image-based input, software, connectivity and cloud-based artificial intelligence into a small wearable form factor.
From Conventional Devices to Wearable AI
Artificial intelligence is increasingly becoming part of everyday technology. Banerjee's project explores another direction: wearable AI.
The AI locket is designed as a compact personal assistant capable of listening to users, processing information, responding through AI and interacting with connected devices. The concept focuses on portability and affordable experimentation rather than creating a mass-market commercial product.
The project brings together:
- Artificial intelligence and conversational interaction
- Compact electronic hardware and microcontrollers
- Voice input and audio output
- Image and visual input
- Multimodal human-computer interaction
- Wireless communication
- IoT device control
- Software and firmware development
- Cloud-based AI processing
How the Portable AI Locket Works
The device acts as an interface between a person and an AI system.
A simplified architecture is:
User → AI Locket → Internet → AI Model Server → Response/Action → User or Connected Device
The locket can listen to human speech, send information to an AI system and provide an AI-generated response. With compatible visual hardware and software, it can also capture images and use AI-based processing to understand or analyze visual information.
This creates a multimodal interaction system where a user can communicate naturally through voice while the device can work with visual information.
The system can also be connected to IoT devices. This creates the possibility of human-AI interaction leading to physical actions—for example, a user giving a voice instruction that is interpreted by the AI system and converted into a command for a connected smart device.
Instead of requiring powerful computing hardware inside the wearable, computationally intensive AI processing can be performed remotely. During development, Banerjee experimented with AI model infrastructure hosted on servers based in China.
A Multimodal AI Device in a Small Form Factor
The locket goes beyond being a simple voice-controlled gadget.
Its concept combines different forms of interaction, including voice, images, AI-generated responses and connected-device control. This allows the wearable to function as an interface between humans, artificial intelligence and the physical environment.
For Banerjee, the project provides an experimental platform for exploring how multimodal AI can be integrated into an affordable and portable device.
Building Affordable AI Hardware
A key aspect of the project is affordability.
Rather than relying entirely on expensive onboard computing, the experimental wearable uses inexpensive electronic hardware together with remote AI processing.
This approach demonstrates how students, hobbyists and young engineers can experiment with AI hardware without requiring a large commercial robotics or artificial intelligence laboratory.
Human-Computer Interaction Beyond the Smartphone
The smartphone remains a powerful personal computing platform, but wearable AI introduces another possibility.
A wearable AI assistant can remain physically close to its user and potentially provide hands-free interaction through voice and other inputs.
The AI locket can therefore be explored for conversational assistance, visual understanding, information access and interaction with compatible IoT devices, depending on its hardware, software and connectivity.
From Electronics Engineering to AI Innovation
Banerjee's wearable AI project reflects his broader interest in combining electronics engineering with software and artificial intelligence.
His interests include AI, embedded systems, software development, robotics and emerging technologies. The portable AI locket demonstrates this hardware-software approach by using physical electronics as an interface for modern AI systems.
The project also complements his experimentation with humanoid robotics, showing his interest in applying artificial intelligence to different physical forms.
Future Possibilities for Wearable AI
Future development could explore improved voice interaction, computer vision, sensors, contextual awareness, battery efficiency, miniaturization, autonomous functionality and deeper IoT integration.
Such systems could potentially connect wearable AI with smartphones, smart-home devices, robots and other connected technologies.
About Niladri Banerjee
Niladri Banerjee is a Kolkata-based Electronics and Communication Engineer, AI and technology enthusiast, software developer and robotics enthusiast interested in artificial intelligence, embedded systems, software development, robotics and emerging technologies.
His projects explore the intersection of electronics, software and artificial intelligence through practical experimentation.
More information about Niladri Banerjee is available through his official website niladribanerjee.in
Project Disclaimer
The AI multimodal locket is an independently developed experimental prototype intended for learning, research, demonstration and technology experimentation. Its capabilities depend on the specific hardware, software, AI services, internet connectivity and configuration used during development.
Conclusion
Niladri Banerjee's portable AI multimodal locket represents an experiment in making artificial intelligence more personal, portable and accessible.
By combining inexpensive electronic hardware with voice interaction, image-based input, wireless connectivity, remotely hosted AI processing and IoT control, the project explores how a compact wearable device can become an interface between humans, artificial intelligence and connected physical systems.
For a Kolkata Electronics and Communication Engineer working across AI, embedded systems and robotics, the project represents another step toward exploring the future of wearable artificial intelligence.
Reference: https://knowlepedia.org/wiki/Niladri_Banerjee
