Ruba Ahmed Khan
Building AI Automation for Modern Businesses
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NeuralGrade is an AI-powered assessment platform that automates answer sheet evaluation using intelligent AI. Teachers upload a reference answer sheet, and the system grades student submissions, generates detailed feedback, and automatically sends results via Email and WhatsApp. It also includes email and WhatsApp automation, helping educational institutions save time, reduce manual work, and streamline the entire assessment process.
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Built a Smart Hiring AI Assistant that streamlines the entire recruitment workflow from resume screening and candidate evaluation to automated rejection emails, HR notifications for shortlisted candidates, and interview scheduling. The solution reduces manual effort, speeds up hiring, and improves the overall recruitment experience.
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Developed an Agentic AI-powered RAG system that retrieves information from documents, websites, and videos to deliver accurate, context-aware responses. Built with a multi-agent architecture, vector databases, and AI workflows to improve knowledge retrieval, automate information access, and reduce hallucinations.
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AI-Powered KYC Automation with Multi-Agent AI
This project demonstrates a multi-agent AI system that automates the complete Know Your Customer (KYC) workflow. Instead of relying on a single AI model, I designed 13 specialized AI agents, each responsible for a specific stage of the verification process, including document analysis, identity verification, data extraction, compliance checks, risk assessment, validation, and final decision support.
By distributing responsibilities across multiple agents, the system improves accuracy, reduces manual effort, accelerates customer onboarding, and creates a scalable KYC process for financial institutions. The solution is designed to integrate with existing business workflows while maintaining security, consistency, and regulatory compliance.
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