Automatic Rice Leaf Disease Prediction using Deep Convolutional Neural Network

We propose a highly accurate real-time rice disease identification system which detects rice diseases and provides farmers with necessary advice and strategic decisions to control rice disease.

Two different deep learning architecture for object detection (Faster R-CNN and YOLOv3) are compared and a single best architecture is recom- mended for rice disease detection task.

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Automatic Rice Leaf Disease Prediction using Deep Convolutional Neural Network

Classroom Attendance System Utilizing Viola–Jones for Face Detection and LBPH for Face Recognition

An automated real-time classroom attendance system detects students from still image or video frame coming from a digital camera, and marks his/her attendance by recognizing them.

The system uses Viola–Jones for Face Detection and LBPH for Face Recognition

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Classroom Attendance System Utilizing Viola–Jones for Face Detection and LBPH for Face Recognition

Election Portal - Digitize election and election related activities in Nepal

The purpose of Election Portal is to digitize election and election-related activities in Nepal. Election Portal, therefore, offers a web application which stores candidate information, election constituency details, latest election results, and various other information directly related to election and enables the clients to fetch those data efficiently.

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Election Portal - Digitize election and election related activities in Nepal