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SpotCheckAI is a full-stack progressive web application (PWA) that can identify suspicious skin lesions as benign or cancerous. Users upload an image to the website and based on the Convolutional Neural Network Model, it will give a percentage of certainty that the model thinks is cancerous or benign.
SpotCheckAI's chatbot is powered by OpenAI's GPT-3 model and can answer questions regarding the results received or the website.
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 Rafferty Leung (rafferty.leung@pace.edu) https://www.rafferty-leung.com/ |
SpotCheckAI utilizes Ionic/React for it's frontend framework and Django for its backend. The backend features a one-time passcode (OTP) that can be utilized with any authenticator. The machine learning model is powered by Keras API and Tensorflow. The ChatBot is powered by leveraging OpenAI's API to develop embeddings.
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View User Guide as PDF | Download User Guide as Word Document
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Watch Deliverable 1 Presentation Video
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Watch Deliverable 2 Presentation Video
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1c. Watch MVP Demo
Sprint 1 Burndown Charts | Sprint 1 Completed Tasks
Sprint 2 Burndown Charts | Sprint 2 Completed Tasks
Team Working Agreement as PDF | Download Team Working Agreement as Word Document
Conceptual Architecture Diagram | Sequence Diagram | Use Case Diagram | Class Diagram | Process Flow Diagram
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