chore: add and fix text

about.md

@@ -3,15 +3,15 @@ gitea: none
 include_toc: true
 ---
 
-# PerfSPEC Learning Phase - ABOUT
+# [PerfSPEC Learning Phase](Readme.md) - ABOUT
 
 Based in [PrefSPEC: Performance Profiling-based Proactive Security Policy Enforcement for Containers](https://ieeexplore.ieee.org/document/10577533) document presented in [1], this repository contains source files used to generate and process data.
 
-For more info use: 
+For more [PrefSPEC](Readme.md) info use: 
 
-- [PrefSPEC main description](Readme.md) 
-- [PrefSPEC introduction](intro.md) 
-- [PrefSPEC reference document](PerfSPEC.pdf)
+- [Main description](Readme.md) 
+- [Introduction](intro.md) 
+- [Reference document](PerfSPEC.pdf)
 - [Presentación in Spanish](presentacion.pdf)
 - [How to install](https://repo.jesusperez.pro/jesus/perfspec-learning/src/branch/main/install.md)
 - [Autogenerated graph view of actions and events distribution](actions_distribution.pdf)
@@ -38,5 +38,20 @@ For more info use:
 
 # Plans 
 
+## Tools and enviroment
 
-# In Review
+- [ ] Use [Polars](https://pola.rs/) by default 
+- [ ] Use [Nushell](https://www.nushell.sh/] for command-line interfrace and data processing
+- [ ] Try [Rust Machine Learning](https://burn.dev/) as alternative or complement of [Keras](https://keras.io/) / [TensorFlow requiremens](https://www.tensorflow.org/install/pip)
+- [ ] Incorporate other training models and [Large language model][LLM]
+
+## [PerfSPEC](Readme.md)
+
+- [ ] Borrow some parts to [PerfSPEC Learning Phase](Readme.md) **Ranking** phase in classify and measure resources and performance costs
+- [ ] Analisys and connection with other parts of [PerfSPEC design and reference](PerfSPEC.pdf) like **Ranking** and **Runtime** phases 
+
+# In Review
+
+- [ ] Check predictions accuracy 
+- [ ] Validate data procedures and results
+- [ ] Verify and test use cases