Nepali Name Gender Prediction with Machine Learning
Explore gender prediction for Nepali names written in Devanagari script using advanced machine learning model. Harness the power of API integration to accurately determine gender based on names, bringing insights and efficiency to your applications.
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.
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
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.
Nepali Cash Recognition for Visually Impaired using Pytorch
The purpose of the project is to train a model to recognize different Nepali currency notes using Pytorch and Pysyft. The model would be trained on a number of devices belonging to visually impaired individuals, allowing them to recognize the notes themselves rather than relying on external assistance.