I’m looking for a pair of polished, submission-ready academic projects built in Python. Project 1: an NLP application with a clean, intuitive UI. I’m flexible on the specific topic—sentiment analysis, text summarisation, or even a lightweight chatbot are all acceptable as long as the core NLP pipeline is solid, the interface feels professional, and the code is well-commented so I can discuss it confidently during evaluation. Project 2: an applied Time Series dashboard that loads a dataset of your choice and lets the user explore trends interactively. I want the visuals to feel lively: line plots, heatmaps, bar charts—whatever best tells the story of the data. Real-time refresh isn’t mandatory, but smooth interactivity (filtering, drill-downs, tooltips, export to CSV/Excel) will add marks. Streamlit, Dash, Plotly, or another modern framework is fine as long as the final executable is easy to launch. Deliverables • Source code for both projects, organised and documented • A short read-me explaining setup, libraries used, and key design decisions • Screenshots or a brief screen-capture demo to prove everything works Both projects must open without errors on a standard Python 3.9+ environment. If you can wrap them into simple executables or provide a requirements.txt / environment.yml, even better. I’m aiming to present these within the next couple of weeks, so let me know your estimated timeline and any questions you have right away.