I have a suite of machine-learning algorithms written in Python that predict and optimise RNA constructs. What I now need is a polished desktop application that wraps those models in an intuitive interface so researchers can move seamlessly from sequence idea to ranked, production-ready candidates. Scope • Platforms: the app must run natively on Windows and macOS. • Tech stack: Python is the preferred language; I am open to PySide/PyQt, Kivy, or a similar cross-platform GUI toolkit if you can justify it. • Core features: – Secure user authentication with individual profiles. – Real-time visualisation of folding, stability scores and other model outputs. – Automated report generation (PDF/HTML) capturing parameters, plots and final recommendations. You will connect the existing Python models to the UI layer, design a clean UX workflow (load data → configure run → visualise → export), and package everything into installers for both operating systems. Please let me know 1. The architecture you would propose. 2. Estimated timeline and key milestones. 3. Any comparable bioinformatics or ML-driven desktop tools you have built. A background in bioinformatics is highly desirable so that discussions on RNA, off-target analysis and sequence constraints are efficient. Looking forward to your thoughts on feasibility, turnaround time and associated costs/hourly rate. Thank you