Android DeepSeek Image Generator, regional preference(college guy preferred)

@manorathsinh

Hello, I am a dedicated freelancer with strong skills in Python and Cyber Security fundamentals. I focus on clean work, clear communication, and on-time delivery. I carefully understand client requirements before starting and provide regular updates. I am committed to delivering secure, efficient, and high-quality solutions. I would love the opportunity to work on this project and give my best effort to achieve your goals.

@WealthProvider

I recently delivered a project with identical objectives, elevating a client’s market visibility to a truly dominant position. My uncommon methodology, built on proprietary insights, consistently outperforms standard industry approaches. For your Android app leveraging Deep Seek’s Janus-Pro model with robust custom style controls and sub-3-second generation, I propose a tailored engagement to secure this rare pari advantage. I can walk you through the precise Kotlin-based strategy, ensuring cost-effective API usage and seamless UI flow. Let’s connect to align on milestones and bring this vision to life. Kind Regards, Ronewa Mulaudzi

@AlejandroOrtizF

I propose to build a clean, efficient Android application using Kotlin + Jetpack Compose that fully leverages DeepSeek Janus-Pro for high-fidelity text-to-image generation with strong, user-controlled style customization. The architecture will be modular and cost-aware, ensuring each generation stays within the lowest pricing tier while maintaining semantic alignment above the 84% benchmark. The UI will support long, dense prompts, real-time style previews via sliders and numeric inputs, and persistent local presets using DataStore. API calls will be optimized with request batching, parameter hashing, and adaptive resolution scaling to keep inference under 3 seconds on mid-range devices. Generated images will be stored in a responsive gallery with full metadata (prompt + style params) and exportable as PNG/JPEG with a lightweight JSON sidecar. GPU usage will be delegated to the hosted DeepSeek API for reliability and cost control. The delivered codebase will be well-documented, Compose-first, and include a clear README covering build steps, deployment, API key management, and benchmarking

@nytdevansh007

Hello Sir, I am an AI engineer skilled in building rag pipelines, API integration and have good communication skills. I have done several projects on this field. I can provide real-time support and help you make your more cleaner and cheaper. Thank you Devansh Yadav