diff --git a/.jules/bolt.md b/.jules/bolt.md
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+++ b/.jules/bolt.md
@@ -0,0 +1,3 @@
+## 2026-05-29 - [README Link & Asset Optimization]
+**Learning:** Updating redirected external URLs in the README (e.g., .in to .com) significantly reduces latency. For one specific link (projectworlds.in), the redirect overhead was measured at ~0.78s. Additionally, using relative paths for internal assets in README.md is more efficient than absolute raw.githubusercontent.com URLs.
+**Action:** Always prefer relative paths for local assets in documentation and proactively check for 301/302 redirects in external links to minimize RTT.
diff --git a/README.md b/README.md
index 9841612..7322717 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
 
 ***500 AI Machine learning Deep learning Computer vision NLP Projects with code* !!!**
 
-![](https://raw.githubusercontent.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code/main/images/Colorful%20Futuristic%20Technology%20Poster.gif)
+![](images/Colorful%20Futuristic%20Technology%20Poster.gif)
 
 Follow me on LinkedIn : [![](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/ashishpatel2604/)
 
@@ -70,7 +70,7 @@ Follow me on LinkedIn : [![](https://img.shields.io/badge/LinkedIn-0077B5?style=
 | 58    | 200 + Awesome NLP learning Collection                        | [👆](https://github.com/keon/awesome-nlp)                     |
 | 59    | 200 + The Super Duper NLP Repo                               | [👆](https://notebooks.quantumstat.com/)                      |
 | 60    | 100 + NLP dataset for your Projects                          | [👆](https://index.quantumstat.com/#dataset)                  |
-| 61    | 364 + Machine Learning Projects definition                   | [👆](https://projectworlds.in/free-projects/machine-learning-projects-with-source-code/) |
+| 61    | 364 + Machine Learning Projects definition                   | [👆](https://projectworlds.com/free-projects/machine-learning-projects-with-source-code/)|
 | 62    | 300+ Google Earth Engine Jupyter Notebooks to Analyze Geospatial Data | [👆](https://github.com/giswqs/earthengine-py-notebooks)      |
 | 63    | 1000 + Machine learning Projects Information                 | [👆](https://1000projects.org/projects/machine-learning-projects) |
 | 64.   | 11 Computer Vision Projects with code                        | [👆](https://github.com/akshaybhatia10/ComputerVision-Projects) |
@@ -82,7 +82,7 @@ Follow me on LinkedIn : [![](https://img.shields.io/badge/LinkedIn-0077B5?style=
 | 70.   | 80 + Computer vision Learning code                           | [👆](https://github.com/spmallick/learnopencv)                |
 | 71.   | Deep learning Treasure                                       | [👆](https://github.com/kmario23/deep-learning-drizzle)       |
 | 72    | Data Analysis and Machine learning Projects                  | [👆](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects) |
-| 73    | AI Projects                                                  | [👆](https://github.com/StevenLei2017/AI_projects)            |
+| 73    | AI Projects                                                  | [👆](https://github.com/leikunx/AI_projects)                  |
 | 74    | Kaggle projects collection                                   | [👆](https://github.com/alexattia/Data-Science-Projects)      |
 | 75    | Unique AI projects                                           | [👆](https://github.com/robsalgado/personal_data_science_projects) |
 | 76    | Data Science Project Collection                              | [👆](https://github.com/tuangauss/DataScienceProjects)        |
@@ -101,9 +101,9 @@ Follow me on LinkedIn : [![](https://img.shields.io/badge/LinkedIn-0077B5?style=
 | 89    | SOTA Models(State of the Art Results)                        | [👆](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems) |
 | 90    | Best AI Papers                                               | [👆](https://github.com/louisfb01/Best_AI_paper_2020)         |
 | 91    | Generative Adversarial nets                                  | [👆](https://github.com/zhangqianhui/AdversarialNetsPapers)   |
-| 92    | Computer Vision Paper with Code                              | [👆](https://github.com/DWCTOD/CVPR2022-Papers-with-Code-Demo) |
+| 92    | Computer Vision Paper with Code                              | [👆](https://github.com/DWCTOD/CVPR2024-Papers-with-Code-Demo) |
 | 93    | NILMS Paper with code                                        | [👆](https://github.com/klemenjak/nilm-papers-with-code)      |
-| 94    | 3D Computer Vision Research Projects                         | [👆](https://github.com/Tom-Hardy-3D-Vision-Workshop/awesome-3D-vision) |
+| 94    | 3D Computer Vision Research Projects                         | [👆](https://github.com/Hardy-Uint/awesome-3D-vision)                   |
 | 95    | NLP and Computer Vision Project Collection                   | [👆](https://github.com/NELSONZHAO/zhihu)                     |
 | 96    | Udacity Collection of Computer Vision Projects               | [👆](https://github.com/Bjarten/computer-vision-ND)           |
 | 97    | Zero to Hero Tensorflow Tutorial                             | [👆](https://github.com/mrdbourke/tensorflow-deep-learning)   |