Build and Ship High-End Generative Model Based Web Applications

Ogooluwa Oyebamijo

(0)

Starting at

250

/hr

About this service

Summary

Whether it’s a RAG-based web application or a more sophisticated integration of generative AI models, I take your project from idea to a fully functional, interactive and functional software with seamless execution. With a unique blend of human interface and interaction design expertise, front-end development skills, and deep understanding of AI integration, I ensure that your web application is not only visually appealing but also optimized for high performance and user engagement. My end-to-end approach means I handle everything from initial concept to deployment, delivering scalable and innovative solutions tailored to your specific needs. You can trust that the final product will be intuitive, responsive, and built to maximize the potential of your generative AI models.

Process

Here’s the process outline I typically go:

1. Discovery & Requirements Gathering

• Initial consultation to understand the business goals, application requirements, and desired AI functionalities.

• Define project scope, technical stack, timelines, and deliverables.

2. Design & Planning

• Create wireframes and prototypes for the human interface (human interface and experience design).

• Architect the system structure, including database design, back-end, and AI model integration.

• Develop a project plan with milestones and clear timelines.

3. Prototyping and Development

• Front-end Development: Build responsive, intuitive human interface using React or NextJS.

• Back-end Development: Set up server-side logic using Flask, integrating with databases (Supabase).

• AI Model Integration: Develop, fine-tune, and embed generative models into the application for real-time use.

4. Testing & Iteration

• Perform thorough unit, integration, and user acceptance testing (UAT).

• Optimize the AI model for performance, ensuring low latency and high accuracy.

• Iterate based on feedback from client or stakeholders.

5. Deployment

• Deploy the application and AI models to cloud infrastructure (i typically use DigitalOcean and Vercel).

• Set up continuous monitoring and automated processes for scaling.

6. Documentation & Handover

• Provide complete technical documentation covering codebase, AI models, and deployment processes.

• Conduct training sessions for the client team if needed.

7. Post-Deployment Support

• Offer a support period for troubleshooting, bug fixes, and performance enhancements.

• Ensure a smooth transition to client management or maintenance.

FAQs

How long does it take?
About 4 to 8 weeks

What's included

Fully Functional and Responsive Web Application
- Source code delivered via GitHub or chosen repository. - Clean, modular, and scalable architecture. - Integrated with AI-powered generative models tailored to specific business needs.
AI Model Integration
- Custom-trained, fine-tuned Huggingface models or pre-existing generative models (LLMs and MLLMs) from popular model providers optimized for application requirements. - Real-time performance and scalability on cloud infrastructure (as required by the project).
Technical Documentation
- Comprehensive documentation on application structure, AI model usage, and deployment. - User guides and API references for seamless handover and future maintenance.
Post-Deployment Support
- Offer 30-60 days of support to handle bugs, optimization, or any potential issues post-launch.

Example projects