📄 Raghav4Web’s AI Image Generator - DEMO

Product Title

Raghav4Web’s AI Image Generator – A creative platform for generating stunning visuals with AI-powered prompt-to-image technology.

Product Description

Raghav4Web’s AI Image Generator enables users to create high-quality, studio-like visuals using simple text prompts. It combines multiple generative AI models (Imagen, DALL-E style, Stable Diffusion, MidJourney style) with customizable art styles, aspect ratios, and lighting options. The tool is designed to serve designers, marketers, content creators, and agencies who need fast, unique, and royalty-free imagery for their projects.

UX Process Followed

1. Discovery & Research

   • Conducted competitor analysis of MidJourney, DALL·E, and Stable Diffusion.

   • Interviewed content creators and designers to understand pain points (e.g., limited customization, lack of style variety, steep learning curve).

2. User Personas

   • Content Creator – Needs quick visuals for social media.

   • Designer – Seeks customization and control over output.

   • Marketing Agency – Requires brand-aligned assets at scale.

3. Wireframing & Prototyping

   • Built low-fidelity wireframes in Figma.

   • Iterated with high-fidelity mockups, ensuring mobile-first and responsive design.

4. Usability Testing

   • Conducted 5 moderated sessions with designers & marketers.

   • Applied A/B testing for layout variations.

   • Iterated based on feedback (e.g., simplified “Enter Your Prompt” field, preview-first approach).

UX Research Methods

• Competitor Benchmarking (MidJourney, DALL·E, Adobe Firefly).

• User Interviews (content creators, designers, agencies).

• Card Sorting (for feature prioritization).

• Usability Testing (early prototype vs final version).

• Surveys & Feedback Loops (to refine art style categories).

Technology Stack

• Frontend: React + TailwindCSS (responsive, modern UI)

• Backend: Node.js + Express.js

• AI Models: Google AI Studio (Imagen, Gemini API, Stable Diffusion integration)

• Deployment: Firebase Hosting / Vercel

• Database: Firestore (for storing prompts, user history, styles)

• Authentication: Firebase Auth (Google, Email)

• Image Processing: Cloud Storage + CDN (optimized delivery)

Case Study (1-Page Format)

Problem

Creative professionals struggle to generate high-quality, unique images quickly. Existing AI tools either require steep learning curves (MidJourney via Discord), lack customization (DALL·E), or do not provide flexible aspect ratios and styles.

Solution

Raghav4Web’s AI Image Generator simplifies AI creativity by combining multiple AI models into a single platform. With intuitive controls (prompt box, aspect ratios, style categories), users can generate professional-grade visuals in seconds.

Design Process

1. Research: Interviews + competitor benchmarking to identify gaps.

2. Wireframes: Mobile-first layouts, tested with early users.

3. Iteration: Feedback-driven refinements (prompt-first interface, preview grid).

4. Validation: Usability testing confirmed improved speed, ease, and creativity.

Final Product

• AI-powered prompt-to-image generator.

• Supports multiple art styles, aspect ratios, and model inspirations.

• One-click downloads for immediate use.

• Clean, intuitive UI with studio-quality results (e.g., majestic lion with a crown).

✅ This case study shows research depth, UX thinking, and technical expertise, which works great for portfolios, RFQs, and client showcases.