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Build an IoT project which promotes the proficiency of existence by joining the digital world to the real world via setting different IoE sensors in daily life objects. Use of Cisco Packet Tracer to simulate smart home.
"C Games" is a collection of interactive games. It also includes features like user account creation, login, game history tracking.
IOE entrance mock Computer Based Test(CBT) for Top Universal Academy, Dharan
codes of laboratory of Object Oriented Programming
2nd year 2nd part microprocessor lab
IoE project where pulse rate and temperature is monitored using sensors and nodemcu and data is monitored on thingspeak.
Codes and Resources for Microprocessor 8085 and 8086.
Collection of Resources for Object Oriented Programming (OOP) using C++
Digitaler Zwilling für viele Informatik Module in der Ausbildung zum Informatiker EFZ und HF Lehrgang Dipl. Informatiker "cloud-native"
Smart Home is a IOE system that automates household appliances to manage resources efficiently
This repository contains source code and resources related to the lab sessions for the Computer Graphics course in the 3rd year of the Computer Engineering program of Institute of Engineering, Pulchowk Campus, Tribhuvan University.
In this Repository, I have uploaded (almost)all the lab works of Data Structures and Algorithm (Computer Engineering, 4th Sem) assigned by the Department of Electronics and Computer Engineering, IOE Pulchowk Campus.
In this Repository, I have uploaded all the lab works of Numerical Methods (Computer Engineering, 4th Sem) assigned by the Department of Applied Science, IOE Pulchowk Campus.
Lab codes of data structure and algorithm
An IOE project developed by Deepak Kharah, Balkrishna Shah and Parshva Vora
Educational Materials Related to Energy Environment and Society Institute of Engineering Tribhuvan University
This project proposes a real-time lane and sign board detection system utilizing the ESP32 Cam microcontroller equipped with a camera module, coupled with computer vision and deep learning techniques. The system employs convolutional neural networks (CNNs) and advanced deep learning algorithms to analyze video and image data captured by the ESP32