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zenodoJournal article2026-07-28

NavAble: An AI-Driven Accessibility Mapping Platform for Disabled Citizens

Nidhi Vinod, Kashish Agrawal, Manvay Nihal, Dr. Deepak N R

Urban accessibility remains a major challenge for people with disabilities due to inconsistent infrastructure, lack of reliable accessibility information, and limited awareness. This paper proposes NavAble, an AI-driven accessibility mapping platform designed to assess, rate, and visualize accessibility features within urban environments. The system integrates community- sourced data, machine-learning- based accessibility inference, and personalized route planning to support independent mobility for disabled citizens. NavAble utilizes a modern full-stack architecture incorporating React.js, Node.js, and Firebase, TensorFlow.js, and Leaflet maps to deliver scalable, real-time accessibility insights. The platform enhances civic inclusivity, supports governmental compliance monitoring, and empowers users through data-driven navigation.

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zenodoJournal article2026-07-29

A Survey Paper on Rural E-marketplace for Local Farmers with Chatbot for Pesticides

Likhith Reddy D, Prajwal Mallappa Sankanur, Kushal K, Dr. Deepak N R

Rural farmers encounter issues regarding market access, crop advisory services, and safe use of pesticides, which results in lower income and productivity. The authors propose the design and evaluation of a smart digital platform for a rural emarketplace with an integrated AI-pow…

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zenodoJournal article2026-07-29

AI-Powered Student Mental Health Analytics and Academic Prediction System: A Supervised Machine Learning and Explainable AI Approach

Sagara C P, Mohammed Zaid, Dr T. Vasudev

Student mental health difficulties such as stress, anxiety, depression and poor sleep frequently go unnoticed until they have already affected attendance, grades and personal wellbeing, because traditional counselling depends on a student voluntarily seeking help. This paper pres…

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zenodoJournal article2026-07-29

Design and Block-Level Simulation of a 16-Bit SAR ADC in 180 nm CMOS for GPR Applications

Aarushi Kulkarni, B Balaaditya, Dr. Kiran Bailey

This paper presents the design and block-level simulation of a 16-bit Successive Approximation Register (SAR) Analog-to-Digital Converter (ADC) implemented in the 180 nm CMOS Process Design Kit (PDK) of the Semiconductor Laboratory (SCL), India, using Cadence Virtuoso with the Sp…

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