I’m Kiran Neupane, a Computer Engineer .
About Me
I am a recent computer engineering graduate with a fervent interest in tech areas such as machine learning, computer vision, and data analytics. My academic background has equipped me with strong foundations in computer systems and software development. However, my true passion lies in leveraging intelligent systems to solve complex problems. I bring a blend of theoretical knowledge and hands-on experience, aiming to contribute innovative solutions that might make the world a better place. Eager to make a meaningful impact, I am actively seeking opportunities to apply my skills and expertise in this dynamic and evolving field. Let's connect and explore possibilities!
My Resume
View here:
Skills
Latest Projects
Deep Learning
Document Image Classification using Convolution Neural Networks
Document Image Classification
With Deep learning neural network
The Document Image Classification project employs a Convolutional Neural Network, specifically the VGG-16 model architecture, to accurately predict document types among five categories: Letter, Memo, Advertisements, Scientific Papers, and Articles. Achieving a training accuracy of 86.94% and a validation accuracy of 83.81%, the model demonstrates robust performance. Sample images showcasing the document types are provided, and a Google Colab notebook offers detailed implementation and analysis. The project addresses document classification challenges and provides a valuable tool for categorizing diverse document types with high accuracy. Explore the notebook for a comprehensive understanding of the model's capabilities.
TODO-LIST
A web app for daily task management.
TODO-LIST
A web app for daily task management.
A simple web application that records your activities which was built using React.
Exploratory Data Analysis
EDA on IMPACT OF PARENT’S EDUCATIONAL BACKGROUND ON CHILD’S ACADEMIC ABILITIES
Exploratory Data Analysis
EDA on IMPACT OF PARENT’S EDUCATIONAL BACKGROUND ON CHILD’S ACADEMIC ABILITIES
The purpose of this report is to analyze the impact of Parent’s Educational Background on Child’s Academic Abilities using a dataset obtained from a public school. The study will focus on two key parameters: Parent’s Education and Child’s Cumulative Test Score. The data will be cleaned, visualized and analyzed using Python programming language and its associated libraries, including pandas, NumPy and Plotly.