Update README.md

README.md

@@ -1,7 +1,8 @@
 # openfoodfacts-ai
 
-# What this repository is and is not.
-This repository is to track and store all our experimental AI endeavours, and wishlists. The [Robotoff repo](https://github.com/openfoodfacts/robotoff) is the place to integrate them into production, and file more trivial issues.
+# Before you read on
+* This repository is to track and store all our experimental AI endeavours, and wishlists. 
+* The [Robotoff repo](https://github.com/openfoodfacts/robotoff) is the place to integrate them into production, and file more trivial issues.
 
 # README
 * [Nutrition table detection and extraction (2018 GSoc work by Sagar) - integrated in Robotoff, used for the detection part by the Graphnet and TableNet models](https://github.com/openfoodfacts/openfoodfacts-ai/tree/develop/GSoC2018/table_detection)
@@ -13,12 +14,12 @@ This repository is to track and store all our experimental AI endeavours, and wi
 * ocr-cleaning (please add a description)
 * object-detection (related to logos and labels)
 
-# Data-Science
+# Next steps
 * You can see many [great analysis of Open Food Facts data in notebooks on Kaggle](https://www.kaggle.com/openfoodfacts/world-food-facts)
-# Have a look 
-* [our roadmap](https://wiki.openfoodfacts.org/Artificial_Intelligence/Robotoff/Roadmap)
-* [cool ways to apply AI to the Open Food Facts](https://github.com/openfoodfacts/openfoodfacts-ai/issues)
-* [proposed ideas for Google's Summer of Code](https://en.wiki.openfoodfacts.org/Student_projects/GSOC/Proposals#Data_science)
+* [Our Roadmap for AI and Robotoff](https://wiki.openfoodfacts.org/Artificial_Intelligence/Robotoff/Roadmap)
+* [Ideas for research projects for Open Food Facts](https://github.com/openfoodfacts/openfoodfacts-ai/issues)
+* [Ideas for applied ML for Open Food Facts](https://github.com/openfoodfacts/robotoff/issues)
+* [Proposed ideas for Google's Summer of Code](https://en.wiki.openfoodfacts.org/Student_projects/GSOC/Proposals#Data_science)
 
 * [Get the data to start playing with food](https://world.openfoodfacts.org/data)
 * Get a subset of images if you tackling computer vision issues on the [#computervision channel of Slack](https://slack.openfoodfacts.org)