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Developed an AI-powered chatbot application using React.js and Gemini AI API. The chatbot provides real-time conversational responses through a responsive and user-friendly interface. This project demonstrates frontend development, API integration, state management, and modern web application design skills while delivering a seamless user experience across devices.
AI Chatbot DevelopmentFrontend DevelopmentReact Native DevelopmentGoogle GeminiReactVisual Studio Code
The network for creativity
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Currently working on a SaaS platform called Serveo ( My own Project )
In which I'm planning to give all kinds of business some AI integration and later on WhatsApp Chat AI integration.
Used technologies: .NET, Entity Framework Core, React with Js, Tailwind CSS, HTML, AI agent for speeding up the development.
So currently I'm open for work so that I can have some side income.
My past project : visit KhelOne.in
I'll upload pictures of my work later on!
khelone.in
KhelOne | National Track & Field Athletics Platform
Discover athletics meets, verified results, national records, athlete profiles, clubs, coaches, officials, and venues across India.
Good luck with it! When you think about starting to market it , I'd love to help!
Building an Autonomous WhatsApp AI Sales Agent for E-Commerce — My Descript Workflow.
In this demo, I share my engineering workflow using Next.js & Supabase to build an AI that understands local Arabic dialects and automates customer orders in real-time.
I used Descript to edit this video quickly, leveraging 'Studio Sound' to isolate background noise and adding dynamic automated captions in seconds.
Nice blend of product engineering and clear demo storytelling here. The local-dialect handling plus real-time order flow is a compelling use case, and the clean dashboard framing makes the workflow easy to follow.
Are you in need of perfect Ai visual for your products... see what I just done.
Image 1: The results.
Image 2: The client brief.
Image 3: The reference image.
The before/brief/reference framing is useful—it makes the generated fashion visual read as a translation exercise rather than a random prompt result. The shopping-cart composition also gives the outfit a clear narrative context.