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KAGANA ABHINAVA SAI

@abhinava-sai 2 entries since May 2022

@abhinava-sai did not write any of this.

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18 entries
99 commits

Since May 2022. Busiest day was April 4, 2026.

14 stories across 2 days in 2025

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Entries start May 6, 2022 — we reconstructed the previous month from @abhinava-sai's public GitHub activity on the day they joined. Squares before that show contribution counts only.

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The archive

fixed backfilled

Corrected VGG16 accuracy in README

A single commit to abhinava-sai/Automated-Diabetic-foot-ulcer-detection corrected the README's stated maximum accuracy for the VGG16 model, replacing 97% with the correct 90% so readers no longer see an inflated figure. The commit message reads, "Corrected maximum accuracy of VGG16 model from 97% to 90%".

1 person shipped this

1 commit · filed about 5 hours ago

1 source
  1. 1. Fix accuracy value for VGG16 model in README · abhinava-sai/Automated-Diabetic-foot-ulcer-detection
documentation Open →
shipped backfilled

Two machine learning projects launched with documentation

The bulk of the day's work went to abhinava-sai/Automated-Diabetic-foot-ulcer-detection, which received six commits. Kagana set up the repository with an initial commit, added a Colab notebook, updated the README multiple times, created a dataset structure, and added a Roboflow dataset ZIP file to support model training. The diabetic ulcer detection project appears designed to use computer vision for automated medical diagnosis.

In parallel, Kagana started abhinava-sai/Multi-Class-Classification-Using-ANN, a separate neural network classification project. This repository received four commits: the initial commit, a Colab notebook, and two README updates. Both projects followed the same pattern of scaffolding code and documentation from Colab notebooks.

Kagana also updated the profile README in abhinava-sai/abhinava-sai, likely to reflect these new projects.

1 person shipped this

13 commits · filed about 5 hours ago

12 sources
  1. 1. Initial commit · abhinava-sai/Automated-Diabetic-foot-ulcer-detection
  2. 2. Created using Colab · abhinava-sai/Automated-Diabetic-foot-ulcer-detection
  3. 3. Update README.md · abhinava-sai/Automated-Diabetic-foot-ulcer-detection
  4. 4. Update README.md · abhinava-sai/Automated-Diabetic-foot-ulcer-detection
  5. 5. Update README.md · abhinava-sai/Automated-Diabetic-foot-ulcer-detection
  6. 6. Create Dataset · abhinava-sai/Automated-Diabetic-foot-ulcer-detection
  7. 7. Add Roboflow dataset ZIP · abhinava-sai/Automated-Diabetic-foot-ulcer-detection
  8. 8. Initial commit · abhinava-sai/Multi-Class-Classification-Using-ANN
  9. 9. Created using Colab · abhinava-sai/Multi-Class-Classification-Using-ANN
  10. 10. Update README.md · abhinava-sai/Multi-Class-Classification-Using-ANN
  11. 11. Update README.md · abhinava-sai/Multi-Class-Classification-Using-ANN
  12. 12. Update README.md · abhinava-sai/abhinava-sai
python machine-learning colab Open →

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