Hello, I'm
B.Tech Computer Science student passionate about building scalable web applications using the MERN Stack while exploring Artificial Intelligence, Machine Learning, Research and Software Development.
Projects
Internships
Patent
Research Paper
I'm Akshat Kaushik, a Full Stack Web Developer and Computer Science undergraduate at Manav Rachna International Institute of Research and Studies.
I enjoy building complete web applications using React, Node.js, Express and MongoDB.
Along with development, I have worked on Machine Learning, IoT systems, published a research paper, and secured a patent publication for a Voice Controlled Smart Utility Trolley.
A complete MERN Stack Customer Relationship Management System featuring Authentication, Dashboard, Lead Management, Customer Management, Sales Pipeline, Activity Logs, Admin Panel and Analytics.
Forecasting model to predict ATM cash demand across a branch network. Applied EDA and Linear Regression on multi-year transaction data, reducing turnaround time by 20%.
Dashboard-based system to monitor and predict network stability across multiple locations. Responsive React frontend with API-based data handling for real-time network metrics and weather analysis.
Full-stack web application for managing campus placements. Students register, create profiles, and apply for openings. Companies post jobs and shortlist candidates, while admins manage users and view placement reports.
AI-powered web application that helps users identify possible health conditions based on selected symptoms. Predicts probable diseases with confidence scores, urgency levels, and health recommendations.
Patent published in Patent Office Journal No. 35/2025 (29/08/2025). Developed an innovative smart trolley system using voice navigation for enhanced accessibility, demonstrating the transformation of a research idea into real-world intellectual property.
Published research paper in the 8th International Conference on Innovative Computing and Communication (ICICC-2025), proposing and presenting the concept of a vocally navigated smart utility system that laid the foundation for subsequent patent development.
Infosys SpringBoard
LinkedIn Learning
German Academy of Digital Education
LinkedIn Learning
LinkedIn Learning
LinkedIn Learning
LinkedIn Learning
Great Learning