Hi! I am Manish Shivabhakti, a Computer Engineering Student in my Junior year at Kathmandu University. Currently, I am a Machine Learning Coordinator at Kathmandu University Open Source Community, under Kathmandu Computer Club.
My preferred languages are C, C++, Typescript, Rust, and Python. My skills include Full Stack Development using MERN (MongoDB, Express, React, Nodejs) Stack, Machine Learning using TensorFlow, IOT using ESP32 microcontroller, and App Development using React Native.
I love working under pressure and building solutions within the given time frame, that's why I participate in hackathons conducted around me whenever possible.
Currently, I am working on several projects. Some of the mentionable projects are:
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Lifeline, an 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.
Github link: https://github.com/the-idealism/lifeline -
Learnr, an online learning platform, for self-learners, which is currently in development. This web app is created to empower the self-learners with a roadmap course recommendations and a discussion forum. This was built using, MERN stack, and TensorFlow for the course recommendation
Github link: https://github.com/orgs/LearnrNetwork/repositories -
Other projects that I have done as assignments semester projects are:
a. Sentiment Analysis (TfidfVectorizer and Multinominal Naive Bayes classifier)
b. Fashion Apparel Classification (CNN with Keras )
c. Content Management System (MERN Stack)
d. 16-bit computer (in Logisim simulator, as the fulfillment of Computer Organization and Architecture mini-project)
e. Sign-O (Sign language translator using LSTM, for KU hackfest 2022)
Github profile: https://github.com/TheManysh