Projects
NaloxNow - HackCanada Winning Project
I created NaloxNow, a mobile application designed to combat the opioid crisis in Canada by providing real-time access to life-saving resources. Built during HackCanada 2025, NaloxNow empowers communities with tools to locate naloxone kits, navigate emergencies, and receive AI-powered overdose response guidance.
BayMax Health Bot
I created Baymax Bot, an AI-powered health chatbot designed to make healthcare more accessible and actionable for everyone. Built during DeltaHacks 2025 (McMaster University), Baymax Bot leverages advanced image recognition technology to analyze injuries in real-time through a device's camera and provides personalized first-aid guidance.
EmotIQ - Emotion Detector App (3rd Runner Up @ NeoDev)
I created EmotIQ for the NeoDev Hackathon, a real-time emotion detection application that analyzes facial expressions and provides personalized tips to help users manage their emotions effectively. Leveraging computer vision and machine learning models, this tool combines emotion recognition with actionable feedback to enhance emotional awareness.
Globingo Travel Translator App - PeddieHacks Winning Project
PeddieHacks Hackathon Winning Project (Travel Category). Developed Globingo, a travel translation tool designed to simplify cross-language communication for travelers. Leveraged Python for the backend and HTML for the frontend to create an intuitive and efficient translation experience. Built a robust backend using data structures and libraries like googletrans and fuzzywuzzy to handle translations, user input normalization, and error handling.
MoodMeter Mental Wellness App
I created the MoodMeter project to empower individuals to take control of their mental health through regular self-assessment and actionable insights. The MoodMeter wellness app asks you 20 simple questions, carefully constructed to assess and evaluate the user's mental health and wellness levels. Based on the values that the users give for each question a mood score is given to the user. Mental Health suggestions will be given to the user based on the user's inputs as well.
Weather Chatbot
I created an advanced generative chatbot that leverages data sourced from tweets on Twitter that users have written on the app. I have chosen tweets as the dataset to investigate how chatbots perform with a diverse set of data, providing a unique corpus for training and interaction. I have utilized the Python programming language and an array of Natural Language Processing (NLP) tools to build and fine-tune the chatbot.