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Manoj-V
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Exam-Slayer-V2
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Exam-Slayer-V2
/
backend
330 kB
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2 contributors
History:
13 commits
Manoj Kumar V
perf(pipeline): optimize OCR trigger, fail-fast multimodal metadata layer, and align frontend status indicator
8d50146
about 1 month ago
app
perf(pipeline): optimize OCR trigger, fail-fast multimodal metadata layer, and align frontend status indicator
about 1 month ago
gemini_raw_output.txt
Safe
8.24 kB
Dual mode update
about 2 months ago
make_10_question_qb.py
Safe
2.75 kB
Enhanced the project
about 2 months ago
requirements.txt
Safe
282 Bytes
Initial MVP backend complete
about 2 months ago
run_local_dist_validation.py
Safe
4.14 kB
Ready for deployment on Hugging Face
about 2 months ago
run_production_validation.py
Safe
8.82 kB
Updated architecture and API quota limit
about 2 months ago
test_10_question_bank.docx
Safe
37.4 kB
Enhanced the project
about 2 months ago
test_e2e_generation.py
Safe
4.63 kB
Enhanced the project
about 2 months ago
test_image_intelligence.py
Safe
3.78 kB
feat(image-intel-v2): Simple English answers, connected Q&A layout, whitespace cropping, and things to remember appendix
about 1 month ago
test_quality_tuning.py
Safe
5.35 kB
feat(backend): implement multi-intent question decomposition and adaptive composition
about 2 months ago
test_question_bank.docx
Safe
36.8 kB
Updated architecture and API quota limit
about 2 months ago
test_study_material.docx
Safe
36.9 kB
Updated architecture and API quota limit
about 2 months ago
test_sub_intent_composition.py
Safe
7.6 kB
feat(backend): implement multi-intent question decomposition and adaptive composition
about 2 months ago