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HPC-Powered Multi-Agent AI Ecosystem for Legal and Automotive Intelligence

High-stakes domains such as legal decision-making and automotive diagnostics require accuracy, interpretability, and reliability—limitations that conventional single-model AI systems often fail to meet due to hallucination, bias, and lack of transparency. To address these challenges, we propose an HPC-powered multi-agent AI ecosystem that integrates strategic model

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VARC-UNet: A Variational Attention Framework with Content-Aware Upsampling for Nicotine Stain Image Segmentation

Nicotine-stained fingertips are a clinically significant biomarker of chronic tobacco exposure and have been associated with an increased risk of smoking-related diseases, including certain cancers. However, manual visual assessment is subjective and unsuitable for population-scale screening, while automated segmentation remains challenging due to subtle color variations,

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An AI-Powered Decision Support System for Automated Knowledge Extraction and Compliance in Real Estate Transactions

Real estate transactions involve extensive unstructured documentation, making financial analysis and regulatory compliance both time-consuming and error-prone. This study presents an AI-powered Decision Support System (DSS) designed to automate knowledge extraction and enhance transparency for stakeholders, including brokers, analysts, and investors. The proposed framework incorporates a

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AR-Based Hair Projection System

The AR-Based Hair Projection System lets users virtually try on hairstyles through a virtual interface. After capturing and mapping the user's face, the system combines AI Hair-Length Detection with a 3D Hairstyle Overlay AR Engine. This generates real-time, personalized hairstyle recommendations, allowing users to confidently visualize

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Smart Parking Management System

This Smart Parking System is a production-grade, three-tier solution automating vehicle check-ins via YOLOv12n, OCR.space, and MediaPipe. By pairing a Flask AI microservice with Node.js and WebRTC, it enables touchless license plate detection and gesture-based duration confirmation. Integrated with MongoDB, the system delivers a scalable, real-time

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ATS-Eureka: AI-Powered Resume Screening System

AI-powered screening system using Google Gemini 2.5 Flash for deep semantic resume matching. Built with FastAPI and AWS, it features asynchronous batch processing to rank candidates while providing job seekers with personalized skill-gap feedback. By integrating MongoDB and Redis, the platform offers a scalable, production-ready solution

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ADHYAYAN AI Interactive AI-Powered Learning Ecosystem

Adhyayan AI is an interactive AI-powered learning platform that transforms traditional study methods into a visual, structured, and engaging experience. By combining large language models with real-time visualization and gamified assessments, the platform enables active learning through mind maps, quizzes, flashcards, and collaborative study rooms.

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