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## Possible Improvements and prototype ideas (during GSoC)
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-[ ] OCR doesn't work well on different colors and some scenarios.
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-[ ] LLaMA 3.1 isn't accurate enough.
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-[ ] LLaMA 3.1 isn't accurate enough, evaluate more models
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-[ ] Duplicate handling in topic classification is a bit too strict.
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-[ ] Consider shifting knowledge generation fully to TypeScript?
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-[ ] Improve performance on CPU.
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-[ ] Platform is currently exam-specific; could be generalized.
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-[ ] Note that one of the current challenges is that the LLM is slow since there's so much to process, so we don't want to wait for one response to ask for another. We currently rely on stateless prompt and it should be the way it is.
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-[ ] Evaluate other llm runtimes than ollama like ONNX
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-[ ] Expand to exams other than GATE.
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-[ ] Shift to asynchronous operations where viable.
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-[ ] Shift to better official sources for PYQs and answer-keys, generate explanation with LLM. (Currently the project relies on GateAcademy's explainations which we dont want to rely on)
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-[ ] A system to generate a study plan based on previous year question patterns. (For example, based on previous year question patterns and topic frequency, generate a list of topics to study in order)
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