MotiSpectra

ConUHacks VIII - 2nd Overall

Developed a real-time emotion analysis software using Next.js and Python to seamlessly integrate with virtual call platforms (Zoom, Google Meet, MS Teams).
Implemented intuitive user interfaces with dynamic radar graphs and rolling averages for visualizing emotion and attentiveness data.
Built and trained ML models from scratch using the FER-2013 dataset for emotion and attentiveness recognition.
Fine-tuned the YuNet face detection model, ensuring an accuracy rate of 97%

NarratorRL

MetHacks - 2nd Overall MetHacks - CoHere Sponsor Challenge 1st

Developed a mobile app to address vision impairment using React Native, Tesseract OCR (optical character recognition), and Django that recognizes text in images and narrates it aloud using Expo’s speech synthesis service
Verified legibility of text and summarized text into keywords using custom-trained Cohere NLP models, implementing NLP text pre-processing strategies to increase model effectiveness.
Applied the Cohere API to implement advanced features such as text language detection and summarization

Developed a web application with Python and OpenAI APIs to generate multiple-choice questions from a variety of content formats such as PDFs, websites, Markdown files, and YouTube videos
Integrated text-to-speech and speech-to-text capabilities with Whisper AI and Microsoft Azure to provide greater accessibility to the visual impaired
Trained a Naïve-Bayes machine learning model using 7.8 million lines of Wiki sentences to format text.
Implemented caching by maintaining generated quiz questions in a MongoDB database, designating each with a unique UUID to allow for user replayability and sharing.

Developed a personalized AI voice assistant that is powered by OpenAI APIs to provide long-term memory and context features, setting it apart from commercial voice assistants like Alexa or Siri
Implemented voice recognition and transcription using Microsoft Azure and Whisper AI, and added GPT-4 and Hume AI’s emotion detection model to allow the assistant to detect and adapt to the user’s emotions, providing a more enhanced conversation experience.
Integrated support for 10+ services features including Wolfram Alpha, Google Maps, News, and Spotify, allowing users to perform a wide range of tasks effortlessly

uOttaHack 5 - Noibu Sponsor Challenge 1st

Built a Chrome extension that parses and analyzes thousands of Amazon product reviews and sorts them by rating, allowing users to make purchasing decisions more easily and boosting efficiency
Used CoHere’s NLP and Beautiful Soup to scrape and extract keywords from 5000+ reviews in seconds
Stored and cached results in a RESTful Django backend

Developed a trivia app featuring a question bank of nearly 4000 problems, allowing users to log into an account to save their elo progress on the global leaderboard
Designed an intuitive and engaging user interface using React Native
Built the backend using AppWrite