Click on the proect picture to see project details or skills (technologies used).
An IoT hack that takes data from automatic doors, uses a TensorFlow neural network to determine if there is an issue with the door, and suggest a fix if there is. Won Best Android IoT Hack from Black & Decker at YHack 2017. View Project
• Created an IoT hack that suggests fixes for doors using machine-learning at YHack 2017 (Yale U)
• Wrote a Flask REST API for a server to be able to receive data from sliding doors, determine if the door is broken, and suggest a fix if it is.
• Used Tensorflow to implement a Classi cation Neural Network to make predictions about each door using, simulated training data
• Awarded by Black & Decker for Best IoT Hack
Skills: Tensorflow, Neural Networks, Python, Flask
An Android app I created, which lets people share puns. Over 100,000 downloads and hundreds of daily users. View Project
• Developed an Android app that facilitates a net- work of puns
• Used Kinvey BaaS to handle pun submissions
• Received over 100,000 downloads on Google Play and gets hundreds of daily users
A camera that takes continuous photos, and sends each photo to a server for firearm detection. If a firearm is detected, authorities are notified, and people can be alerted via a web-app and a geofencing app. Won Best Use of AWS from Amazon at HackHarvard 2017. View Project
• Worked in a team at HackHarvard 2017, to cre- ate products aimed to help battle gun violence
• Developed an Android ”security camera” that takes continuous geo-tagged photos, and sends each photo to a server that detects rearms
• If server detects rearms, it forwards photo to authorities, alerts the app & logs it in a database
• Developed a separate app that takes data from the ”alerts database” and gives geofence- triggered warnings around the location in which a rearm was detected, to prevent people from entering area
• Awarded by Amazon for Best Use of AWS
Skills: Android/Java (Photo capturing, photo processing, geofencing), Firebase, Google Maps
A chrome extension built to help minimize distractions on YouTube. View Project
A sentiment analysis tool that lets users see what the general public thinks about any topic. View Project
Internet-Thoughts is an open-source sentiment analysis tool created at Yale University for YHack 2016. Internet-Thoughts fetches data on any given topic. It then analyzes this data using a custom built sentiment-analysis engine, which calculates the average positivity/negativity within references of that topic.
A basic hosting website made for a junior web development class in highschool. View Project
I made this in highschool for a web dev class so they'd be able to easily put their work on the web.
Skills: PHP, HTML/CSS