This was my first hackathon project and I'm super proud I won at my first hackathon! Honestly, I had no clue what was going on, but I designed a machine learning model that allows users to predict daily covid cases up to 100 days. This model proved to be a winning project even though my devpost wasnt that nice yet and my presentations weren't anything special. Built at HackTheValley5, winning the DCP Challenge 1st Place prize amoungst 300+ participants.

• Python
• Fbprophet

For one of my last hackathons of the year, I wanted to make a project that I can continue working on into the future, something that can do good in the hands of others. With the help of Mitchell, Matthew (another one, I know) and Jacky, we were able to make SafePulse. SafePulse provides users with opioid addiction relief information, live support and the locations of safe injection sites and free naxolone kits. It also has an emergency response alarm that alerts emergency services of the users status, location and access instructions when an overdose occurs. I handled the design of the app and the implementation of Twilio. Designing such a large app for the first time was kind of scary, but with constructive feedback from teammates and participant input, I think it turned out quite nicely. Built at HawkHacks2022, winning 1st place overall amoungst 350 participants. *Sidenote* It was designed for mobile view and you can login to SafePulse with the credentials - test@email.com SafePulse4

• React
• HTML
• CSS
• Python

Spearheaded the development team and served as secondary project manager for SFU Nocte. Built the front-end using NextJS, providing a highly responsive user interface, and utilized Framer Motion to implement animations and interactive designs to enhance the user experience. Utilized Flowbite to enable rapid prototyping, and Tailwind for efficient and consistent styling throughout the platform. Integrated authentication and user management features using Auth0 and PassportJS to provide secure access control.

• NextJS
• Framer Motion
• Flowbite
• Tailwind
• Auth0
• PassportJS

SignTube is a platform to connect the deaf/mute and those who speak. Using your devices camera to talk using ASL, the app will convert it to text for the other person to view. Conversely, you can also use your microphone to record your audio which is converted into text for the other person to read. Built at QHacks2022, winning 3rd place overall and the Leading Learners x QHacks Prize amoungst 300+ participants.

• React
• MaterialUI
• OpenCV
• Tensorflow
• AssemblyAi
• Python
• Flask

AdventureAddict is a social media app to connect people through stories. It lets you scroll through posts made by other users on the site. Based on the posts you view and like, Adventure Addict recommends new posts tailored to your interests. AdventureAddict also lets you create your own projects with its clean and easy-to-use interface. Built at HackUMBC2021, winning 2nd place overall amoungst 200+ participants.

• Flutter
• Python
• HTML

Diversify came out of the frustration that many have with diversity in the workplace. Diversify connects minority groups with hiring managers to promote diversity and networking. It uses a recommendation system to accurately recommend companies and hirees based on location and job description. Built at BCHacks2022, winning Best Diversity in Tech amoungst 200+ participants.

• React
• Python
• Tensorflow
• CSS
• HTML

TellMe is a mobile app for companies' employees designed to bridge the gap between the deaf/mute by making sign language easily readable. Built at ESC Hacks 2022, winning 1st place overall amoungst 150+ participants.

• OpenCV
• Python
• Tensorflow

Consult-Aid is a portal designed to streamline the collection of user health data at vaccination centres in BC for Vancouver Coastal Health. Built at ThinkTech 2022, winning 3rd place overall amoungst 200+ participants.

• Javascript
• HTML
• SCSS

This was one of my most memorable hackathon experiences because I had the opportunity to be flown out to Berkley for their inperson hackathon, CalHacks! GutBuddy is a dietary support app designed to assist individuals in tracking and managing their gastrointestinal (GI) symptoms and conditions. It aims to help users better understand their digestive health and identify patterns or triggers that may be contributing to their symptoms. The app allows users to log and track their symptoms, meals, and lifestyle factors, and provides personalized insights and recommendations based on this data using machine learning. GutBuddy also features a symptom diary and medication tracker by using Twilio to get user data. Built at CalHacks2022, winning the Best Twilio API implementation amoungst 2500 participants.

• React
• HTML
• CSS
• Python

Lecture Leverager was made because of the annoying note taking experience university students have. To make note taking easier and more efficient we made Lecture Leverager, it uses AssemblyAi to transcribe and LexRank to summarize the transcribed text. Built at FallHacks2021, won 1st place overall amoungst 100+ participants.

• Python
• React
• FastAPI
• AssemblyAi
• Flutter
• Heroku

ZenChat is designed to provide accessible and confidential support for individuals struggling with mental health issues. ZenChat aims to create a user-friendly and accessible platform that offers a variety of features to help individuals manage their mental health on a day-to-day basis by providing tools and outlets while connecting individuals with the resources they may need. Built at ProduHacks.

• JavaScript
• HTML
• SCSS

YouKraine is a platform to connect refugees with those willing to offer support, socially, mentally and/or financially. It also features a map where refugees can find safe shelter and support from relief efforts. Built at YHacks2022, won Audience Favourite with 40 vote amoungst 150+ participants.

• React
• Python
• Tensorflow
• Mongodb
• Express.js
• Node.js
• uuid
• Axios
• Bcrypt

Designed to reduce food waste, LeftOverz sprouted from a news article by Global News about the food waste during the pandemic. We narrowed down our problem and decided to focus on tackling food waste from restaurants ~ the number of takeout/delivery orders grow by the day so we wanted to also take advantage of that business model. LeftOverz is where restaurants sell food that would've been thrown out and our users can buy food at a discount, its a win-win! Built at WinHacks2022.

• React
• Python
• Flask

This one hits kinda close to home, the inspiration for this project came from my dad, he's blind and has always required an eye transplant but they're often far and few in between. This problem made we want to build PeerOrgan, a platform to make organ donations more accessible for everyone. People from around the world can learn more about who they're donating their organs to and if they're not a donor yet, can possibly be inspired by the recipients story and become a donor. Built at HackNYU, winning Most Outrageous Hack amoungst 500+ participants.

• React
• Python
• Flask
• HTML
• CSS

Cooking's always been difficult, espcially when you're starting out and don't know what to cook with what you've got lying around, the solution I design for this problem is MealMate! MealMate is a cooking buddy that can recommend you recipes based on what ingredients you have on hand. When trying out the website, it loads pretty slowly, don't mind it. Built at nwHacks2021, winning best domain amoungst 200+ participants.

• React
• Python
• Flask
• HTML
• CSS

Bankings HAAAAAAAAAAAARD you know it, I know it, EVERYONE knows it. To cut out the call centres, waiting, and whatever else can waste away my day, we designed AvaAssist. AvaAssist is an all in one banking chat bot thats capable to giving loan recommendations and provide feedback on your banking/spending status through twilio. Built at HackWestern8, recieveing an Honorable Mention & DashaAi Runner-up amoungst 300+ participants.

• React
• Python
• Flask
• HTML
• CSS

One of my first bigger projects with python, was done as apart of my time at LighthouseLabs. It was meant as a starting point to try out different machine learning algorithms and cleaning techniques. We tried out 10x different models and also realized how OP google colab is vs my computer. Big learning project, much love to Prashanta.

• Tensorflow
• Sklearn
• Python

My capstone project at Lighthouse, took me 2 weeks of pain staking data collecting, cleaning, and trial and error. The project predicts the stock market using an RNN LSTM model and it's 68% accurate when predicting AMZ. I wouldn't put any money on it though!😂 Shout out to Henry for putting me on this path of self development, I've been itching to do computer science/software development since highschool, but didn't know where to start.

• Tensorflow
• Python

My first web dev experience that required me to build a website from the ground up, utilizes PokeAPI to show you pokemon and their stats

• React
• HTML
• CSS

Found Hugo and realized it was an easy way of making a website. 🔥🔥HUGE shout out to jacky for inspiration and, alan and eric for helping me out with the website!🔥🔥

• Hugo
• HTML
• SCSS