I am a computer engineering student at Kathmandu University. I consider myself a creative person with an optimistic mindset and a strong personality. I am a passionate learner who is fascinated by the world of Data Science and I look forward to exploring this field with great interest and determination.
I am good with C, C++, Javascript and Python . My skills include Full Stack Development using MERN (MongoDB, Express, React, Node.js) Stack, Machine Learning using TensorFlow, and App Development using React Native.
Some of my projects are:
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GovToken : Gamified Governance using Blockchain
GovToken is a blockchain-based platform that gamifies governance by incentivizing civic engagement. Users earn rewards for completing various civic tasks such as paying taxes at different levels (federal, provincial, local), participating in community programs like LGCDP, voting, and utilizing government services. Incentives include bonus rewards for participating in community events, practicing empathy through actions like blood donation, and initiating small projects on special occasions. The platform also features a social profile showcasing users' contributions and a website offering a user-friendly interface with features like task categories, activity charts, program updates, and a leaderboard to encourage engagement and collaboration among users. -
Lifeline:
In elderly health care toolkit with a pill dispenser and wristband, which is well-connected with the mobile application, built using ESP32, React Native, other hardware like MPU6050, RF tag, and reader, stepper motors, GSM and GPS module.
https://github.com/the-idealism/lifeline -
UV : Utopian Vision
An online map locating the appropriate areas for the developmental works following the principles of sustainable development with the vision of creating a utopian nation.UV, our web application, is built on top of react JS frontend with Django as backend. GeoPandas is used for processing whereas the map turf library of npm is used for the mapping purpose in react JS. -
Machine Learning Specialization:
Machine Learning Specialization - Learned from Andrew Ng the fundamentals of ML, build models in Python using NumPy & scikit-learn, explore supervised & unsupervised techniques, and apply best practices for real-world AI applications.
https://github.com/PriyanshuSharma1/machine_learning_specialization