Daily Archives: November 29, 2025

Authors: Ankit Verma, Anmol Soni, Arnav Singh, Adnan Khan, Ahtesham Farooqi

Abstract: This paper presents AI Career Navigator, a com- prehensive AI-driven career guidance platform integrating ten essential modules: career recommendation, resume analysis, job search aggregation, interview preparation, cover letter genera- tion, skill gap analysis, career trend analytics, learning resources, conversational AI chatbot, and LinkedIn profile optimization. The system employs a hybrid methodology combining NLP- based resume intelligence, psychometric profiling using the Big Five Personality Model, supervised machine learning for career prediction, and ATS-based scoring mechanisms. The frontend ar- chitecture leverages React with TypeScript, enhanced by Tailwind CSS, ShadCN UI, and Framer Motion, while the backend imple- ments advanced AI/NLP/ML algorithms for semantic analysis, personality classification, and intelligent career-profile matching. The modular architecture incorporates domain-skill mapping, career-interest correlation, and real-time trend analytics with adaptive feedback loops to generate context-aware recommenda- tions. Comparative evaluation demonstrates that AI Career Navi- gator significantly outperforms conventional systems by providing data-driven insights, holistic skill assessment, and personalized recommendations, thereby enhancing graduate employability and reducing career mismatch rates observed in traditional models.

DOI: http://doi.org/10.5281/zenodo.17761603

Published by: vikaspatanker

Authors: Mr Sandeep Tandon

Abstract: Digital comparators are fundamental building blocks in arithmetic and control processing units, forming an essential component of ALUs, microprocessors, DSP modules, and embedded logic devices. Traditional 4-bit comparators offer a limited operational range, and real-time digital systems require scalable multi-bit comparison architectures. This paper presents a modular, cascaded comparator design methodology that extends a basic 4-bit comparator to 8-bit and 16-bit architectures using MATLAB/Simulink. The work proposes a structured cascading mechanism using hierarchical decision logic (GT, EQ, LT propagation) and evaluates performance through extensive simulation-based analysis. Functional verification, simulation timing behavior, switching activity estimation, and scalability evaluation are conducted. Results demonstrate that the proposed comparator architecture maintains accuracy, modularity, and linear scalability, making it suitable for integration into FPGA, ASIC, and real-time embedded systems.

Published by: vikaspatanker