Projects

A full-featured Nepali online news portal built with PHP and MySQL. Sprasa News provides a clean, responsive news reading experience with a powerful backend CMS for journalists and editors. Key Features: • Multi-category news publishing with rich text editor support • Breaking news ticker and featured article carousel on homepage • Admin panel with role-based access: Super Admin, Editor, Reporter • News article scheduling — publish immediately or at a set date and time • Image gallery support for photo journalism articles • Tag-based and category-based content organisation • Comment moderation system for reader engagement • SEO-optimised article URLs and meta management • Social sharing integration for Facebook, Twitter, WhatsApp • Full Nepali Unicode and English content support • Responsive design optimised for mobile readers in Nepal • Advertisement management with banner zones and sidebar ads • Most-read articles tracker and trending news section • Email newsletter subscription with admin broadcast tool Technical Stack: PHP 8.x, MySQL, custom MVC architecture, Editor.js for content, Cloudflare CDN for performance. Built to serve the Nepalese news-reading community with a fast, reliable platform that works even on slow mobile connections common in rural Nepal.

A microcontroller-based Traffic Light Controller designed and simulated in Proteus to automate road traffic signals. The project demonstrates sequential signal timing, traffic control logic, and embedded system programming for efficient and safe intersection management.

The growing use of electric vehicles has increased the need for safe, efficient, and intelligent charging systems. This project presents the design of a Smart EV Charging System with IoT-based monitoring and energy management to improve charging reliability, user convenience, and overall system safety. The system uses embedded control and sensor technology to monitor important parameters such as voltage, current, power, charging time, and temperature in real time.

Whenever a fault occurs in an underground cable, it is difficult to detect the exact location of the fault for the process of repairing that particular cable. Diagnosing a fault is challenging and requires the entire cable to be taken out from the ground to check and fix faults. This project work aims to detect and classify fault types with their location. To locate a fault in the cable, the cable must be tested for faults. This system uses MATLAB simulations to analyze electrical signals. The current varies depending on the length of the fault in the cable. The proposed system detects the fault and classifies fault types with the exact location of the fault. This method is tested on the IEEE-9 bus system, showing better speed and accuracy than traditional methods. This solution improves the reliability and efficiency of power distribution networks. Keywords: Fault detection, fault classification, fault localization, neural networks, MATLAB simulation, IEEE 9-bus system, deep learning.

Performed relay coordination study and protection scheme design for an 11kV/415V substation. Included overcurrent, earth fault, and differential protection settings per IEC standards.