AI Agent Designer Projects in IndiaAI Agent Designer Projects in India
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Cover image for Converc — Turn Website Visitors
Converc — Turn Website Visitors Into Live Conversations URL: https://converc.com One-liner Built a real-time browser-based calling platform from scratch — MVP live in 5 days. Project Overview Converc solves a problem that costs B2B companies revenue every day: high-intent visitors land on your site, can't get a human immediately, and leave. It embeds a call widget that connects visitors to sales reps in real time — no booking links, no forms, no friction. I architected and built the full product: a Next.js frontend, Supabase backend with Row Level Security, and WebRTC-powered peer-to-peer audio calling that works entirely in the browser with no native app required. The stack was chosen for performance, low latency, and the ability to ship fast without sacrificing production quality. What I Built WebRTC call engine with real-time signalling via Supabase Realtime Embeddable call widget (drop-in script for any website) Agent dashboard with live call status, queue management, and session history Webhook integration layer for CRM and Slack notifications on call events OAuth-based authentication with Google and dev/prod environment separation Supabase RLS policies enforcing strict data isolation between workspaces How I Shipped It The core MVP — widget, signalling, agent dashboard, and working calls — was shipped in 5 days using Cursor with Claude as the AI pair programmer. Post-MVP work covered Google Safe Browsing clearance, Slack App submission, analytics scoping, and hardening the auth and security model for production. Tech Stack Next.js · Supabase · PostgreSQL · WebRTC · Vercel · Tailwind CSS
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Cover image for AI Agent Tutor Mobile App An
AI Agent Tutor Mobile App An AI personal tutor mobile application designed for learners of all ages, from students to professionals. The app provides personalized guidance, explanations, skill development, and interactive learning across multiple subjects and topics. Key Features: > AI tutor conversations for learning any topic > Personalized learning paths based on user goals and skill level > Support for academics, professional skills, coding, languages, and general knowledge > AI explanations, summaries, and concept breakdowns > Practice exercises, quizzes, and knowledge improvement tools > Voice and text-based learning interactions > Learning history and progress tracking > Adaptive AI responses based on user behavior Key Contributions: -- Developed a cross-platform mobile learning experience -- Integrated AI/LLM technology for real-time tutoring interactions -- Implemented secure authentication and data management -- Optimized performance and user experience across devices Outcome: Created an AI learning companion that enables users of all ages to learn, improve skills, and access personalized education anytime through a mobile-first experience.
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Cover image for I built something wild for
I built something wild for the Paper Challenge🚀 It turns any GitHub repo into a visual case study — instantly. No writing. No designing. Just drop a repo link… and the canvas builds itself. That’s CodeSage💯 Most devs have solid projects… but they’re buried in README files nobody reads. CodeSage changes that. It reads your actual code — architecture, stack, commits — and transforms it into a clean, dark, presentation-ready case study. The real unlock? Paper MCP. I connected my AI agent directly to the canvas. So instead of designing manually… the agent builds everything: • Sections • Layout • Insights • Structure All generated directly on the canvas. No drag. No drop. Just output. Pick any repo → get 3 analysis modes: *Each one gives → Complexity score → PR velocity → Language breakdown → Full Refactor Roadmap Try CodeSage: https://codesage-871524277866.us-central1.run.app/ Tech stack: Paper MCP · Gemini API · GitHub API · Antigravity
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Cover image for Healthcare AI-Based Decision Support System Architected
Healthcare AI-Based Decision Support System Architected a multi-step LLM-powered clinical decision support platform that transforms patient records and medical guidelines into structured diagnostic workflows. The system combines OCR processing, patient-data ingestion, AI-powered reasoning, and human-in-the-loop validation to improve reliability and consistency of clinical recommendations. Key contributions included: • Designing the LLM decision-engine architecture • Building medical guideline-to-decision-tree workflows • Developing evaluation and review tooling for quality assurance • Integrating OCR and patient-data processing pipelines • Supporting orchestration across multiple AI and healthcare system components Technologies: Python, LLMs, OCR, Workflow Orchestration, Healthcare AI
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Cover image for KibbarX | A Space Taxi
KibbarX | A Space Taxi App. I've created an app that can be used by people in the future to travel in space. Think of it like Uber, but for the solar system. I just went with a unique idea to go for, instead of a generic website and app design, to actually see the potential of the tool. Every single thing in the design is created using Stitch. I started with the basic prompt to create the starting screen of the app (attached the screenshot) and then kept modifying the design and experience until it generated something that I found good to go. I kept giving it instruction simultaneously for multiple elements and screens. And it generated really good results. The prototype also works well and helps visualize how the final product would work. The UI has a dark approach with a space theme to create a galactic feeling for the users. Feedback: Stitch is an awesome product for any designer out there. If it's creating this level of design at this stage, what will it do after a year or two when it becomes even more advanced? I wonder. I loved the fact that I could keep giving it instructions while it generated for the previous prompt. It really helps to make the whole process really fast, unlike other tools where we have to wait for the design to generate before giving the next instruction. There is something that could be improved, which is that instead of creating new screens for each prompt, it can save history for the changes and keep changing the same screen; it generates new screens each time, sometimes even if I try changing just one element on the screen. It should have a components option, where components should be generated and can be used anywhere, just like in Figma, Framer, and Webflow. Currently, it keeps designing a new header bar, bottom nav bar, font sizes, etc. I had to select each element and ask it to match a certain element on some other screen to keep the consistency of the design. Prototype link: https://stitch.withgoogle.com/preview/12372570470099160226?node-id=c3368f15ef8c48189193f8cb080c2c9d Thanks, Google, I loved using Stitch. Definitely looking forward to using it for the real-world product design.
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