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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.py have 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
Deployment:
EVALUATION & FEEDBACK:
PROBLEM & TRANSCRIPT:
- [ ] recording -- give a countdown before automatically recording && time limit shown (automatically submit once countdown ends)select_criteria.pyhave the dropdown w/ pre-filled optionsNEXT STEPS - Database & User Account:- [ ] account creation & tracking- [ ] the dashboard/progress tracking/recommendation planner