The model selection interface powered by Puter.js, providing access to 400+ AI models.

🌌 DKAP Assists DKAP Assists is a high-performance, multimodal AI interface designed for seamless interaction. It operates on a zero-infrastructure model, utilizing client-side execution to eliminate the need for backends, servers, or developer-side investment.

🚀 Key Highlights Massive Model Library: Access a unified interface for 400+ models, including the Claude 3.7 series, GPT-4o, DeepSeek, and Qwen.

Diverse Multimodality:

Transform images into descriptive text.

Generate high-fidelity visuals and video clips directly from prompts.

Engage in hands-free dialogue with integrated Voice Mode.

Serverless Efficiency: Built using Puter.js, allowing the application to manage complex API routing and authentication entirely within the browser.

Instant Deployment: Optimized for Vercel, ensuring global availability and rapid edge loading.

🛠️ Architecture This project bypasses traditional server costs by shifting the logic to the "Fat Client."

Orchestration: Puter.js serves as the bridge for model hosting and secure API calls.

Styling: A liquid-glass aesthetic powered by Tailwind CSS v4 and Framer Motion.

Hosting: Vercel handles the static deployment, maintaining 24/7 uptime with no maintenance overhead.

📥 Getting Started Installation Bash git clone https://github.com/Raycisto/dkap-assists.git cd dkap-assists npm install Development Bash npm run dev 🎨 Visual Identity The UI focuses on a vibrant, dark-mode experience featuring:

Glassmorphic Cards: High backdrop-blur elements for a modern feel.

Interactive Components: Animated chips for quick-start prompts like "Startup ideas" or "Draft an email".

Real-time Indicators: Visual feedback for model readiness and network status.

Developed by Divyanshu Kaprawan Empowering users through serverless AI innovation.