Bench Wick – AI-Powered Performance Insight Platform

Client:

Category: AI | Azure | React

Date: Oct / 08 / 2025

About the client

BenchWick is a modern web application platform designed to help users explore and create customized tile designs. The platform enables users to upload images, generate variations, and receive AI-assisted suggestions for selecting tile styles and types. The client’s goal was to create a secure, interactive, and intuitive web-based tool to enhance design decision-making and user engagement.

Client’s requirement

The client required a dynamic, secure, and AI-enhanced image manipulation platform with the following features:

AI-assisted suggestions: The system provides recommendations on tile types, styles, and transitions based on user input and image analysis.
Image upload & variation generation: Users can upload images and generate multiple design variations.
Interactive visualization: Users can view different angles, transitions, and layouts of selected tiles.
Download & tracking: Users can download generated images and the platform maintains a history of user activity for analytics and personalization.
Performance & security: Ensure high performance across devices and maintain data privacy for user uploads.

Cannyfore Technology Solutions

To address the client’s requirements, Cannyfore delivered a secure, interactive, and AI-powered solution using a modern full-stack web approach. Key solutions included:

Core Functionality

BenchWick can leverage Python-based AI models such as OpenAI’s DALL·E or Stable Diffusion for image generation and variation, combined with CLIP for image-text similarity, and PyTorch for model deployment and customization
Image upload and processing: Users can upload images, and the system generates multiple variations securely.
Interactive visualization is implemented using Three.js or React Three Fiber to allow users to preview different transitions, angles, and arrangements of tiles in 3D
Secure User Management: Handled image uploads, storage, and history tracking for personalization and analytics.
Seamless Frontend Experience: Built reusable React & TypeScript components for responsive, high-performance UI with download capability
Download capability: Users can download their designs directly from the platform.

Key Technologies Used

AI technologies like DALL·E, Stable Diffusion, and CLIP for intelligent image generation, 3D visualization, and personalized design experiences and PyTorch
Frontend: React.js, Redux-Saga, Functional Components, Typescript, MUI, HTML, CSS
Backend & Database: AWS S3 or Azure Blob Storage for secure image storage, Pandas/NumPy for data handling, and FastAPI/Flask for serving AI models as APIs.
DevOps & Cloud: GitLab, Jenkins, Azure, Yarn
Security & Utilities: Secure file upload, activity tracking