GenWise – An All-in-One AI Toolkit

AYISHA KHANUM; Shashank Hegde; Sanjana R V R V; Sahana A S A S; Shambhavi M Y

doi:10.36948/ijfmr.2025.v07i06.62739

GenWise – An All-in-One AI Toolkit

Author(s)	Ms. AYISHA KHANUM, Mr. Shashank Hegde, Ms. Sanjana R V R V, Ms. Sahana A S A S, Ms. Shambhavi M Y
Country	India
Abstract	GenWise is a cross-platform intelligent mobile suite designed to unify diverse AI-driven utilities into a single, cohesive application experience. Developed in Flutter for multi-device compatibility, GenWise integrates Google Generative Language Models (Gemini) for natural-language reasoning, understanding, and text generation; Vertex AI Imagen 2 for prompt-based visual synthesis; and Firebase for secure user authentication alongside lightweight cloud data persistence. The system is targeted toward learners, educators, content creators, and software developers who often rely on fragmented AI tools that lack interoperability and consistent workflows. GenWise consolidates these capabilities into modular, extensible components such as Chat-with-PDF for document question answering, Code Explainer for static code understanding, AI UI Designer for rapid prototyping of interfaces into structured HTML/CSS, and Communication Practice using speech-to-text and text-to-speech for conversational skill development. Additional creative and productivity features—such as Resume Builder, Question Paper Generator, Knowledge Duel, Image-to-Story transformation, Poster Generator, Lyrics/Recipe assistants, and image compression/upscaling—demonstrate the system’s breadth. This paper presents the architecture, design decisions, and implementation strategies that enable GenWise to function as a unified AI toolkit. We describe the chunking and retrieval mechanisms used for document Q&A, the conversational pipeline for speech-based interactions, and the modular plugin-style design pattern that supports rapid tool integration. Security considerations, performance optimizations, and limitations—such as dependency on cloud inference and variability in generative outputs—are discussed. Finally, we outline future directions including vector-store-based retrieval augmentation, partial offline inference via ONNX Runtime, advanced analytics, and adaptive personalization. GenWise illustrates how emerging AI capabilities can be orchestrated into a stable, production-ready platform suitable for educational, creative, and productivity-oriented tasks.
Keywords	ONNX, GenWise, HTML/CSS, AI UI, Image-to-Story, Flutter, Vertex AI
Field	Engineering
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-11
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.62739

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GenWise – An All-in-One AI Toolkit

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