Контрольная работа на Python типа проект по анализу неструктурированных данных (текст) с поэтапным описанием в в док файле

Нужна помощь в написании небольшой проектной работы, что-то вроде творческой контрольной.

По курсу "анализ неструктурированных данных" (текст)

Project Structure:

1. Choose the dataset or web-site

2. Dataset  (gathering or downloading)

3. Database (RBMS, text, etc.)

8. Interface (chat-bot, web-interface, add-on)

9. Web-API (FastAPI, FlaskAPI, DjangoAPI)

10. ML models (NER, EL, sentiment, topic modelling, AMR Graph, RDF-triples)

It is necessary describe all the steps of work and bring some conclusions and limitations

Report structure:

• aims and goals
• system parts and architecture
• data storage architecture
• data gathering architecture
• algorithms description
• testing
• conclusion

The topic is not important, preferably on medical data (e.g. https://huggingface.co/datasets/bigbio/scai_disease/viewer/scai_disease_bigbio_kb/train?p=1&row=104)

I can provide examples of two homework's based on which the project should be built upon request.

The work should be done preferably in english (can be discussed)

The price is also disputable