Browse project ideas, reference papers, abstracts and academic guidance related to Mobile App Development with AI.
This project direction translates recent AI and multimodal-assistant research into a mobile-first application. The implementation can focus on camera input, text interaction, personal assistance, local inference, or document-grounded answers through a clean…
Reference Paper: A Survey of Large Language Models
This project direction translates recent AI and multimodal-assistant research into a mobile-first application. The implementation can focus on camera input, text interaction, personal assistance, local inference, or document-grounded answers through a clean…
Reference Paper: YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
This project direction translates recent AI and multimodal-assistant research into a mobile-first application. The implementation can focus on camera input, text interaction, personal assistance, local inference, or document-grounded answers through a clean…
Reference Paper: MobileSAM: Fast Segment Anything
This project direction translates recent AI and multimodal-assistant research into a mobile-first application. The implementation can focus on camera input, text interaction, personal assistance, local inference, or document-grounded answers through a clean…
Reference Paper: Retrieval-Augmented Generation for Large Language Models: A Survey
This project direction translates recent AI and multimodal-assistant research into a mobile-first application. The implementation can focus on camera input, text interaction, personal assistance, local inference, or document-grounded answers through a clean…
Reference Paper: Large Language Models on Tabular Data -- A Survey
This project direction translates recent AI and multimodal-assistant research into a mobile-first application. The implementation can focus on camera input, text interaction, personal assistance, local inference, or document-grounded answers through a clean…
Reference Paper: A Survey of Large Language Models
This project direction translates recent AI and multimodal-assistant research into a mobile-first application. The implementation can focus on camera input, text interaction, personal assistance, local inference, or document-grounded answers through a clean…
Reference Paper: MobileSAM: Fast Segment Anything
This project direction translates recent AI and multimodal-assistant research into a mobile-first application. The implementation can focus on camera input, text interaction, personal assistance, local inference, or document-grounded answers through a clean…
Reference Paper: YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
This project direction translates recent AI and multimodal-assistant research into a mobile-first application. The implementation can focus on camera input, text interaction, personal assistance, local inference, or document-grounded answers through a clean…
Reference Paper: Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception
This project direction translates recent AI and multimodal-assistant research into a mobile-first application. The implementation can focus on camera input, text interaction, personal assistance, local inference, or document-grounded answers through a clean…
Reference Paper: Retrieval-Augmented Generation for Large Language Models: A Survey
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