Mohit Gedela
Learner
(1)
5

Latest feedback

Achievements

Recent projects

GastroTrackAI
GastroTrackAI
Ottawa, Ontario, Canada

Mobile App Development

Our company is developing a mobile health app to track diet, exercise and digestive symptoms. We would like to collaborate with students to implement some app updates. These updates will help us provide new features and fix bugs. This will involve several different steps for the students, including: Familiarizing themselves with our platform, products and services. Identifying updates that should be added to our app. Implementing and documenting changes. Recommending areas for future app improvement.

Matches 2
Category Mobile app development + 1
Closed
Wyzer Learning, Inc.
Wyzer Learning, Inc.
Calgary, Alberta, Canada

AI Edutainment Enhancement Initiative

Wyzer Learning, Inc. is developing an innovative AI-based edutainment software product aimed at transforming ESL learning outcomes. The current challenge is to refine and optimize the AI models and processes to improve the quality of text, art, voice, and sound outputs. Our goal is to create a more immersive and interactive user experience by leveraging advanced AI techniques. This project will focus on enhancing the AI's ability to generate, at scale and quickly, precisely targeted practice text, produce brand-aligned illustrations for practice items, and deliver more accurate voice and sound analysis. By improving these elements, the software will provide a more engaging and educational experience for users. This position will produce AI elements and techniques that will directly impact our software to improve customer experiences and outcomes. The project will involve reviewing existing models and processes, identifying areas for improvement, and implementing changes to achieve the desired enhancements.

Matches 1
Category Artificial intelligence + 3
Open

Work experience

Open Source Contributor
Google Developer Groups McMaster
Hamilton, Ontario, Canada
October 2025 - Current

• Contributing to the early development of an AI-powered Chrome extension, InterfaceAI, using React.js, Next.js,
TypeScript, and Tailwind CSS, aimed at enabling users to perform complex web tasks through natural language.
• Working on a Node.js backend integrating LangChain and LLMs to interpret user commands and prototype
browser automation logic; exploring OpenCV for visual understanding of web pages.

Software Engineer Intern
GastroTrackAI
March 2025 - June 2025

• Engineered scalable backend components with Flask and TypeScript, accelerating feature delivery by 30%
• Integrated a user notification system that utilized Firebase for tracking user inactivity, reducing drop-off rates
by 20%
• Fixed 15+ critical bugs and documented key updates, enhancing stability and user experience
• Implemented Uber Eats API and REST APIs to log over 100+ food items for nutrient intakes and enabling
personalized insights

Education

Bachelor of Engineering (B.E.) / B.Eng., Engineering
McMaster University
September 2024 - April 2029

Personal projects

LevelUP
August 2025 - Current
https://github.com/MohitGedela/LevelUP

• Engineered a AI full-stack Next.js app enabling users to upload their files and receive personalized quizzes
tailored to their interest
• Integrated Gemini LLM to generate quizzes, utilized REST API endpoints to manage dynamic quiz generation
and React.js, TailwindCSS for the frontend

Moodify
July 2025 - Current
https://github.com/MohitGedela/Moodify

• Developed a Python application that detects a user’s realtime emotion by implementing Opencv and Pillow to
enhance the image and, DeepFace and Numpy to detect the emotion
• Integrated Streamlit for a responsive UI and deployment, and utlilized Spotify’s Web API to fetch and curate
a playlist based on the emotion.

Java Battle Ship Game
July 2023 - Current
https://github.com/MohitGedela/Java-Battleship-Linear-Relations

• Developed an interactive Battleship-style game using math concepts (coordinates, slopes, inequalities) to
enhance student learning through gamified problem-solving
• Built using object-oriented programming to manage logic, difficulty, and visual feedback for math learning.