Software Engineer focused on scalable applications, clean architecture, and system design.

Lavanya Naik  • Peerlist

Fleeto - Car Rental Management System is built using Node.js, Express.js, MySQL, React, and Tailwind CSS. It provides detailed vehicle information, including specifications, images, and pricing, and integrates real-time availability checks to streamline the booking process. It includes features like user authentication, customer reviews, and profile customization, making the system efficient, user-friendly, and less error-prone by automating key processes and ensuring data consistency.

Fleeto

Fleeto - Car Rental Management System

Hospital Management System is developed using HTML, CSS, EJS, Node.js, Express.js, and MongoDB. It features tailored UIs for doctors, users, and administrators, with an admin panel for managing doctors, patients, and departments using CRUD operations. It also includes dynamic appointment scheduling based on doctor availability, making the system less time-consuming and error-prone by automating scheduling and data handling. Additionally, it integrates a map feature using Leaflet.js to display the hospital's location, enhancing user convenience and navigation.

Hospital Management System

Medcare - Hospital Management System is developed using HTML, CSS, EJS, Node.js, Express.js, and MongoDB. It features tailored UIs for doctors, users, and administrators, with an admin panel for managing doctors, patients, and departments using CRUD operations. It also includes dynamic appointment scheduling based on doctor availability, making the system less time-consuming and error-prone by automating scheduling and data handling. Additionally, it integrates a map feature using Leaflet.js to display the hospital's location, enhancing user convenience and navigation.

Medcare

Result Sage automates the process of fetching student results from the VTU website using Python, Selenium, Tesseract OCR, OpenCV, and Pandas. It interacts with the webpage via Selenium, inputs USNs, and solves CAPTCHAs using OpenCV and Tesseract OCR. Once the form is submitted, it extracts result data and stores it in an Excel sheet, calculating SGPA, grades, and percentage. The system is designed to be less time-consuming and error-prone by automating repetitive tasks and handling CAPTCHA-solving efficiently.