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Mobile App Review Sentiment Analysis Dashboard

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…

Project Overview 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 mobile interface. The reference paper, 'A Survey of Large Language Models', provides the academic base for the topic. Instead of copying the paper abstract directly, this page keeps the same research intent in a safe paraphrased form: the system uses large-language-model capabilities for explanation, reasoning, summarization, and natural-language interaction. The final student implementation can include dataset preparation, model/API integration, dashboard or app interface, result explanation, and a short documentation-ready workflow.
Research Paper Title A Survey of Large Language Models
Research Paper / PDF Link Open Paper / PDF
Year 2023
Project Area Mobile App Development with AI
Project Type Mobile Project
Required Tools / Software Flutter/React Native/Android Studio, Python API backend, TensorFlow Lite, Firebase, LLM/RAG API
Main Features / Working Principle Collect or upload relevant data, preprocess it, apply an AI/ML/LLM/RAG/software workflow, and present the result through a dashboard or application interface for Mobile App Development with AI.
Expected Output A working B.Tech project prototype for Mobile App Development with AI with input, processing, result display, and explanation/report sections.
Possible Add-ons Admin panel, PDF report export, model comparison, source citations, login system, WhatsApp help button, and deployment on cloud/hosting.
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