4 Open Issues Need Help Last updated: Aug 1, 2025

Open Issues Need Help

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AI Summary: Develop separate patient and doctor dashboards for a medical application. The patient dashboard needs image upload and analysis, medical report management, appointment scheduling, and chatbot integration. The doctor dashboard requires patient management, appointment scheduling, AI analysis review, report generation, and secure communication features. Both dashboards require a robust backend and frontend implementation, including API endpoints and database schema design, with a focus on security and HIPAA compliance.

Complexity: 5/5
help wanted wontfix
General Projects Small Projects

AI Summary: Implement a role-based authentication system for a signature verification web application using Flask-Login and JWT, including separate registration flows for patients and doctors, email verification, password hashing, and robust security measures like CSRF protection and rate limiting. This involves creating database models, middleware for route protection, and secure password reset functionality.

Complexity: 4/5
documentation help wanted question
General Projects Small Projects

AI Summary: Implement a role-based authentication system for a signature verification web application using Flask-Login and JWT, including separate registration flows for patients and doctors, email verification, password hashing, secure password reset, CSRF protection, rate limiting, session timeouts, and SSL/TLS for authentication routes. This involves creating database models, middleware for route protection, and handling JWT tokens securely.

Complexity: 4/5
documentation help wanted question
General Projects Small Projects

AI Summary: The task involves integrating four pre-trained deep learning models (ResNet50, VGG16, EfficientNet, MobileNetV4-Large) for diabetic retinopathy detection into an existing signature verification system. This includes creating a model loading and inference pipeline, implementing an ensemble prediction system, developing API endpoints for model predictions, adding robust error handling and validation, and implementing model performance monitoring. The existing project uses a Siamese network with a ResNet18 backbone for signature verification, and this task requires integrating the new models for a different, but related, medical image analysis task.

Complexity: 4/5
documentation help wanted question