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Description
Deployment:
- Streamlit deployed link
EVALUATION & FEEDBACK:
- OPTIONAL: replace Gemini with OpenAI ??
- automatically run the LLM evaluation on code & transcript, so they don't need to click a button (simplifies user-flow/logic)
- update evaluation/feedback output (eg. make it more intuitive to understand if the evaluation is good/bad, an overall score as a percentage, etc.)
- code evaluation -- use LLM to check the user's code against the code solution link in the dataset
- feedback -- add a lesson plan based on evaluation/results (recommendations for problem difficulty level, algorithm type, etc.)
PROBLEM & TRANSCRIPT:
- Display the type of question is it called / What leetcode Question is it
- Follow-up questions -- completely remove, instead show what they'll be graded on (rubric/things to say)
- Better looking site?
- add GIF/Demo of a runthrough of the app (example input, output of app)
- add images & explanations of example (eg. FizzBuzz)
- sorting questions based on company
- [ ] recording -- give a countdown before automatically recording && time limit shown (automatically submit once countdown ends) - In
select_criteria.pyhave the dropdown w/ pre-filled options - replace dashboard with problem recommender
NEXT STEPS - Database & User Account:
- [ ] account creation & tracking
- [ ] the dashboard/progress tracking/recommendation planner
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