Binaya Ginesh 's starred repositories
llama_cpp_canister
llama.cpp on the Internet Computer
sandbox-conversant-lib
Conversational AI tooling & personas built on Cohere's LLMs
QR-Attendance
About : QR attendance is flask web application with mysql db and html, css, javascript front end. This app is use for automate and digitize the students records and attendance management and it's also has feature of Attendance by scaning QR of students to add attendance.
QR-Code-Based-Attendance-System
An end-to-end Database focused portal for managing student attendance through QR code scanning. Features include user registration, QR code generation, attendance marking, and real-time analytics. Built with MySQL, PHP, JavaScript, HTML and CSS.
attendance-marking-using-qrcode
This project is created using NodeJs and VueJs. Objective of the project is to use QRCode to take attendance of a class room.
QR-Attendance-System
A hassle-free solution for marking attendance within college network.
QSapien
It is interactive learning platform where a user can ask objective questions to other fellow users.each question has some credit points.The leaderboard shows top scorers. a user can update his profile, bio, and other details. This App is developed in React.JS, Redux and backend API is developed in Node.JS and express.
firebase-starter
A quick start Create React App template with react-router-dom, material-ui, gh-pages and firebase. With google authentication, routing and deployment capabilities built in.
create-t3-app
The best way to start a full-stack, typesafe Next.js app
create_chatbot_using_python
This code is an implementation of a simple chatbot using TensorFlow, which is a machine learning framework developed by Google. The chatbot is trained using a neural network to classify user inputs into predefined intents and provide appropriate responses based on the detected intent.
FOSS4G_workshop
Real-time 3D visualization of geospatial data with Blender
MobileNet-SSD
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.