diff --git a/_gsocblogs/2026/blog_GenerativeAI_Assisted_Testing_of_Spack_Packages_VaishnaviMishra.md b/_gsocblogs/2026/blog_GenerativeAI_Assisted_Testing_of_Spack_Packages_VaishnaviMishra.md
index faed2aec3..22cf2ca19 100644
--- a/_gsocblogs/2026/blog_GenerativeAI_Assisted_Testing_of_Spack_Packages_VaishnaviMishra.md
+++ b/_gsocblogs/2026/blog_GenerativeAI_Assisted_Testing_of_Spack_Packages_VaishnaviMishra.md
@@ -2,7 +2,7 @@
 project: HSF
 title: "Generative-AI Assisted Testing of Complex Spack Packages"
 author: Vaishnavi Mishra
-photo: blog_authors/VaishnaviMishra.jpg
+photo: blog_authors/VaishnaviMishra.jpeg
 avatar: https://avatars.githubusercontent.com/VaishnaviOnPC
 date: 2026-08-25
 year: 2026
@@ -40,8 +40,8 @@ In addition to the core components, the extension also includes:
 * **Decoupled HPC Workflows:** Supports offline compute nodes by generating specs on login nodes (``--plan-only``) and executing them offline in batch jobs like Slurm (``--execute-queued``).
 
 ## Implementation Highlights (Code & Documentation)
-* **AI-Test Extension Repository:** [VaishnaviOnPC/spack-ai-test](https://github.com/VaishnaviOnPC/spack-ai-test)
-* **Official Documentation:** [spack-ai-test Documentation](https://VaishnaviOnPC.github.io/spack-ai-test/)
+* **AI-Test Extension Repository:** [VaishnaviOnPC/spack-ai-test](https://github.com/spack-ai/spack-ai-test)
+* **Official Documentation:** [spack-ai-test Documentation](https://spack-ai.github.io/spack-ai-test/)
 
 ## Current State & What's Left to Do
 The extension is fully functional and successfully integrates into existing Spack installations. The core MAPE-K loop, LLM integration, and bisection logic are operational.
@@ -63,4 +63,4 @@ The design of the MAPE-K loop and generative testing pipeline was inspired by re
 ---
 
 ## Acknowledgements
-Thank you to my mentor, Wouter Deconinck, for the guidance throughout this project. I am also very grateful to CERN, HSF and Spack for this opportunity.
\ No newline at end of file
+Thank you to my mentor, Wouter Deconinck, for the guidance throughout this project. I am also very grateful to CERN, HSF and Spack for this opportunity.