My Projects
A project that creates a visualization of the demand for each job the user picks to help them see what jobs are most in demand.
Ingredients- • Python
- • Matplotlib
- • Pandas
- • Requests
- • Data Analysis
- • Data Visualization
- • Statistics
- • React
- • Vite
- • TypeScript
- • HTML
- • CSS
App available here:
https://jobdemand.app
Screenshots:
GoodCoIndex
The Good Computing Opportunities Index: A full-stack, cross-platform search engine application with machine learning that provides developers with opportunities to compute for good, supporting iOS, Android, and the Web.
Ingredients- • Django
- • NumPy
- • Python
- • Redis
- • Expo
- • Expo Router
- • NativeWind
- • React Native
- • Tailwind CSS
- • TypeScript
Code available here:
https://github.com/pjnalls/goodcoindex
Logo:
NLP From Scratch
An NLP character-level Recurrent Neural Network (RNN) model developed with machine learning (ML) project architecture best practices in mind built with Python, PyTorch, Makefile, and Shell.
Ingredients- • PyTorch
- • NumPy
- • Matplotlib
- • Deep Learning
- • Neural Networks
- • Natural Language Processing (NLP)
- • Python
- • Makefile
- • Shell
Code available here:
https://github.com/pjnalls/nlp_from_scratch/
Screenshot:
YouTube Clone
A YouTube video search clone built with Expo and React Native for iOS, Android, and the Web.
Ingredients- • React Native
- • Expo
- • Expo Router
- • YouTube Data API
- • TypeScript
Code available here:
https://github.com/pjnalls/youtube/
Screenshots:
Habit AppLit
A 'lit'tle habit tracker app for creation, tracking, and streak-visualization of habits for iOS, Android, and the Web.
Ingredients- • React Native
- • React Native Gifted Charts
- • React Native Linear Gradient
- • Expo
- • Expo Router
- • AsyncStorage
- • TypeScript
Code available here:
https://github.com/pjnalls/habit-applit/
Screenshots:
Classic iTunes
An iTunes clone built with Expo and React Native for iOS, Android, and the Web.
Ingredients- • React Native
- • React Native Track Player
- • Shaka Player
- • Expo
- • TypeScript
Code available here:
https://github.com/pjnalls/itunes/
Screenshots:
Please also visit my GitHub profile to view what I'm currently working on.