Clement Adetunji - AI Developer | ContraWork by Clement Adetunji
Clement Adetunji
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Clement Adetunji

AI SaaS MVP Builder helping startups turn ideas into product

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Lagos, Nigeria

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Lagos, Nigeria

Cover image for Modern AI-Powered SaaS Web Application
Modern AI-Powered SaaS Web Application
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Cover image for Modern Property Marketplace
Modern Property Marketplace
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Cover image for Full-Stack Conversational AI Platform
Full-Stack Conversational AI Platform
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Cover image for Premium Kajabi Coaching Website
Premium Kajabi Coaching Website
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I started using Flowstep (https://www.linkedin.com/feed/#) AI design assistant, found it cool and I was hoping to find it on mobile on a day I needed it. I flowstep challenge on Contra (https://www.linkedin.com/feed/#) to visualize that idea in styles. Built an entire flowstep mobile UI in one session - 5 screens, zero Figma files. Connected Flowstep (https://www.linkedin.com/feed/#) MCP to Claude ai > generated every screen directly on the canvas via Claude prompts. No manual pixel-pushing. My designs in Flowstep canva, public link below: https://app.flowstep.ai/file?activeFileId=362fe0a7-6666-48c0-aa89-9affb9b8df71 Then replicated the full design in react.js and deployed on Github pages. Explore below, hope you enjoy it... https://clemxytech18.github.io/flowstep-mobile-app/
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I remembered the old days of nokia java snake game. I never successfully played it pass 2 minutes. It was fund so I decided bring back the old memory... I vibe coded it with replit with my own uniqueness as upgrade, and it's really cool. Published link below 👇, have fun trying it out https://nokia-snake-revival--clemxytech.replit.app
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Cover image for AI Voice Assistant | Conversational
AI Voice Assistant | Conversational AI Agent with OpenAI, Vapi & React Designed and developed an intelligent AI voice assistant capable of understanding natural language, maintaining conversational context, and completing user requests through natural voice interactions. The solution combines modern speech recognition, large language models (LLMs), and text-to-speech technologies to create a human-like conversational experience for web applications.
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Cover image for AI-Powered Fishing Forecast Platform
AI-Powered Fishing Forecast Platform
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Cover image for Developed a full-stack conversational AI
Developed a full-stack conversational AI platform that enables users to interact with business services using natural voice commands. The platform leverages advanced LLMs, speech recognition, and voice synthesis to automate customer interactions while maintaining contextual awareness across conversations.
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