AI Tinkerers Hackathon Project Gallery - AI Tinkerers & Google Cloud: Agents Hackathon Toronto
AI Tinkerers - Toronto
Final round winners have been announced. View Results

Entries

Browse submitted projects, teams, and winners.

20 Entries
Entry Description Team Status
Team consisting of four Shopify engineers/interns (UWaterloo, Ontario Tech) skilled in TypeScript/React, Python/Django, OpenAI/Cohere, STT/TTS and computer vision. 1st Place
Actual Code turns GitHub repos into AI-crafted, tech-stack-specific coding assessments from real issues to predict on-the-job performance. 2nd Place
V.I.S.I.O.N (Virtual Intelligent System for Integration, Optimization, and Networking) awaits the Hackathon theme to build projects with Google’s ADK. 3rd Place
Team consisting of four University of Waterloo students and Shopify interns skilled in LLMs, prompt/meta‑prompting, ML evals, Python, TypeScript/React, NLP and fintech. Finalist
Building an app for meetup organizers to boost engagement β€” a Kahoot quiz generator from slides; open to hackathon ideas. Finalist
Team consisting of Tangerine engineering leads/architects (Head of Engineering, Solutions Architects), a Scotiabank GenAI full‑stack intern, and a Tangerine tech intern β€” JS, C#, Azure, cloud, GenAI. Finalist
Accelerating rare-disease diagnosis by automating a clinician-in-the-loop genetic-testing workflow with AI to shorten diagnostic odysseys. Submitted
We are working on the AI-powered real estate solution to simplify and personalize property search. We are open to new ideas! Submitted
Team consisting of UW PhD/postdoc in systems & control, an Ethos Engine AI ML engineer (Python, TensorFlow, CNN/LSTM, RAG), and a PhD in inverse optimization. Submitted
Build an opinionated, humanlike AI companion (coherent memory via vector store + agents) with asynchronous texting simulating realistic responses. Submitted
Team consisting of Fawkes Biodata leaders/engineers: CEO (PhD UofT), CTO (PhD AI/medicine), MS Northwestern engineer, MS CS York full‑stack β€” Python, R, RAG, embeddings, web scraping. Submitted
Team consisting of CIHI, Huawei, Lyft, RBC, EnerZam and TMU engineersβ€”UofT/MEng gradsβ€”combining healthcare AI, 3D vision, LLM/agent integration, full‑stack, PyTorch/TensorFlow expertise. Submitted
Team consisting of GenAI consultants/data scientists from AI Talentflow/CGI, Tangerine and CloudCosmosβ€”LLMs, RAG/LangChain, PyTorch/TensorFlow, AWS; Punjabi Univ. & Lambton grads; Kaggle top 0.2%. Submitted
Team consisting of Vector Institute ML dev, Instacart software engineer (MScAC UofT), UVic ML/DSP researcher, and Starfish Medical engineer β€” Python, NLP/CV, DSP, JS, C++. Submitted
Team consisting of Waterloo-trained ML engineers and researchers (StarTech, Cognichip, AiStrike, Amazon/Manulife interns) skilled in LLM/RAG, PyTorch, TensorFlow, CV, GraphML. Submitted
Team consisting of AI/ML engineers & data scientists from Sharpestminds, CIBC, Pythian β€” expertise in real-time LLMs/Agentic AI, Graph RAG, Android, CV, RL, finance ML. Submitted
Team consisting of five Schulich MMAI students β€” ex-Bell dev, ZS ML engineer, BMO consultant β€” skilled in Python, SQL, GCP/AWS, MLOps, CV/NLP. Submitted
Agentic AI Submitted
Team led by a technologist/angel Eric Boydβ€”Singularity Univ Applied Mathβ€”expert in generative AI, ML human-feedback, Arduino hardware prototyping, DIY bio, community event building. Submitted
Team consisting of Apple/Shopify/RBC/Oxford engineers and McMaster students skilled in full‑stack (React/Next.js, TypeScript, FastAPI), ML/MLops (Python, C++, AWS), agents and on‑device DSP. Submitted