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Nathan Clairmonte's Projects

arxiv-bot-ui icon arxiv-bot-ui

ArXiv Chatbot project. Powered by NextJS. Provides chat over document functionality using NextJS API routes and JS LangChain.

date-of-birth-picker icon date-of-birth-picker

Simple date of birth picker built on top of Shadcn UI's DatePickerDemo. Adds a year picker and month picker to the component for easier date of birth selection.

ecse324notes icon ecse324notes

Notes for the Computer Organization course at McGill university

melody-generation-rnn icon melody-generation-rnn

A project using RNNs made of LSTM units to generate melodies. Two melody generation systems were implemented which learn on a set of training melodies to generate novel melodies of their own. Gen-pitch learns solely on note pitch, Gen-duration learns on both note pitch and duration. Melodies are in MIDI format. Models were implemented using Keras.

nextjs-blog icon nextjs-blog

A simple blog application. Created to explore and learn Next.js functionality.

pacman-rl icon pacman-rl

A project implementing Q-learning reinforcement learning techniques to create an AI to play PacMan. Done using C++, Python and the Arcade Learning Environment (ALE) package. Q-Learning code is inside the agent.py file.

pdf-chatbot icon pdf-chatbot

(Extension of ArXiv ChatBot application). PDF Chatbot Application that enables users to interact with any PDF file with a conversational chat interface. Facilitates loading of local PDF files through AWS S3, as well as user authentication with NextAuth.js and MongoDB. Frontend and server side routing powered by Next.js

percy icon percy

My personal website, self-coded using React.js

percy-v2 icon percy-v2

Second iteration of my personal website. Built with Next.js

suicide-ideation-detection icon suicide-ideation-detection

A project investigating the classification of online text based on the presence of suicide ideation, specifically in the context of reducing the occurrence of more detrimental false negative misclassifications. Demonstrated that false negative misclassification errors can be minimized without a significant decrease to overall accuracy.

titanic-clf-package icon titanic-clf-package

A classification model package written in Python, based on titanic survival dataset (https://api.openml.org/d/40945)

truth-or-drink icon truth-or-drink

Simple web application to randomize some drinking game questions. Built with NextJS. Deployed with Vercel.

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