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nihar5hah/README.md

🌐 Connect

   

💫 About Me

I’m a Computer Science undergraduate focused on building applied AI systems that go beyond demos.

I design multi-agent architectures, evaluation-driven AI platforms, and production-ready automation systems — turning AI ideas into structured, reliable infrastructure.

Currently exploring scalable AI orchestration, RAG architectures, and real-time AI observability systems.

🚀 What I'm Building

  • 🔥 KalExam — RAG-powered AI learning & evaluation platform
  • 🤖 OpenClaw Multi-Agent System — autonomous orchestration with structured task delegation

🧠 Core Focus Areas

Multi-Agent Orchestration • AI Evaluation & Benchmarking • RAG Architectures • Conversational AI Systems • Production AI Workflows • Automation-First Design

💻 Tech Stack

👨‍💻 Languages

⚡ Frontend

🧩 Backend & APIs

🗄 Databases & Cloud

🤖 AI / ML

🛠 Tools

📊 GitHub Stats

Building structured, scalable AI systems — one architecture at a time.

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  1. KalExam KalExam Public

    AI-powered exam preparation platform with intelligent progress tracking, smart study recommendations, and exam mode readiness scoring

    TypeScript 1

  2. HireAI HireAI Public

    TypeScript 1

  3. FaceAttend FaceAttend Public

    A Python-based attendance system using OpenCV and face_recognition library that automatically records attendance when it recognizes faces.

    Python 1

  4. mission-control mission-control Public

    A real-time operations dashboard built for my OpenClaw AI automation system.

    TypeScript 1

  5. task-manager task-manager Public

    Modern Kanban task manager with Obsidian/Linear-inspired UI, auto-sync with cron, and WebSocket live updates

    JavaScript