My name is Sweekar Dahal. I graduated with a Bachelor’s in Computer Engineering from Kantipur Engineering College (affiliated with Tribhuvan University). I enjoy using programming to address practical problems, and many of my projects are inspired by challenges I see in everyday life. I have solid experience with Python, C#, TypeScript, and SQL. My long-term goal is to contribute to research and development in meaningful technological areas.
Welcome to GuffGaff – Your Space to Think, Speak, and Connect!
(small scale production)
GuffGaff is not just a social app — it’s a living, breathing community. Here, we believe that: Everyone has something valuable to say Listening is just as powerful as speaking A question can be the start of a revolution Constructive disagreement makes us smarter Empathy builds bridges
WBpro is a modern web application designed to help you track, manage, and optimize your daily tasks—both individually and collaboratively.
(Use 'demo' as username and password for preview.)
WBpro goes beyond simple task management. Its goal is to promote holistic well-being by integrating personal goals, work objectives, and collaboration features into a single, streamlined platform. Key features include:
Log my Expense is a mobile application designed to help you track, manage, and optimize your finances with an intuitive interface.
Log my Expense provides a user-friendly platform to monitor your financial activities. Key features include:
A research project using semantic segmentation to detect brain tumors in MRI scans.
This project focuses on detecting brain tumors using MRI scans trained on semantic segmentation models like U-Net and DeepLabv3. The dataset was curated from various sources and labeled using LabelImg. Key aspects include:
A benchmark dataset for Nepali handwriting detection, providing baseline models for text localization and recognition.
The NHD dataset is designed to advance research in Nepali handwriting recognition. Contributions include:
A comparative study using segmentation networks for weed detection in UAV images. This study is performed in six different segmentation models, utilizing image processing for lowering overfitting and increasing accuracy.
This study leverages UAV imagery to detect weeds in agricultural fields, improving crop yields. Key points:
A JavaScript library inspired by BigDecimal for precise number rounding. This is a few lines of code to adjust number after it has been processed using standard approach.
BigNum is a JavaScript library addressing precise number rounding issues. Features include: