The problem AI DERMATOLOGIST solves

Problem Statement:
The AI DERMATOLOGIST web app addresses critical challenges in skin health and dermatology, making it easier, safer, and more accessible for individuals to understand and manage skin conditions. With its integrated features, the app provides a comprehensive solution to several dermatological needs.

How it Solves Problems:

Disease Identification: Users can upload images of skin conditions, and the app leverages image recognition technology to accurately classify them into one of ten common dermatological diseases, including Eczema, Melanoma, Psoriasis, and more. This facilitates early detection and informed decision-making.

Expert Consultation: The app connects users with GPT-3.5, a state-of-the-art AI language model, enabling them to ask questions about their skin condition. It offers personalized insights, guidance, and answers to dermatological queries, enhancing patient knowledge and engagement.

Educational Resource: AI DERMATOLOGIST scours the web for related YouTube videos, offering users a curated selection of educational content to learn more about their specific skin condition. This ensures that individuals can access a wealth of information conveniently and reliably.

PDF Reports: The app generates PDF reports summarizing interactions with the AI. These reports serve as a valuable reference for users to share with healthcare professionals during consultations, streamlining the diagnostic process and facilitating better-informed discussions.

Accessibility and Convenience: Users can access the app from the comfort of their homes, reducing the need for physical visits to dermatologists. This convenience is especially valuable for those in remote areas or with limited access to healthcare facilities.

Challenges we ran into

During the development of the project, our team encountered a couple of significant challenges that tested our problem-solving skills and collaboration abilities.

Git Merge Conflicts:
One notable hurdle arose when multiple team members were working simultaneously on different features of the project. As a result, we encountered several git merge conflicts while attempting to integrate our individual branches into the main codebase. These conflicts threatened to disrupt our progress and coordination.

How We Overcame It:
To address the git merge conflicts, we adopted a proactive approach. We established a clear communication channel within the team, notifying each other about the specific files or sections we were working on. Additionally, we utilized version control tools such as

git diff

and

git log

to track changes and anticipate potential conflicts. Regularly scheduled team meetings allowed us to discuss code integration strategies, ensuring that everyone was on the same page. By proactively addressing conflicts and collaborating closely, we were able to successfully resolve merge conflicts and maintain a smoothly functioning codebase.

Python Bugs and Compatibility Issues:
During the development phase, we encountered several Python bugs and compatibility issues, particularly when integrating various libraries and dependencies. These issues caused unexpected crashes, errors, and inconsistencies in the application's behavior.

How We Overcame It:
To tackle the Python bugs and compatibility challenges, we adopted a systematic debugging approach. We carefully reviewed error messages and traced back to the root causes of the issues. We conducted thorough testing with different versions of libraries and dependencies to identify compatibility problems.