diff --git a/pages/students/2021/manohar_gowdru_shridharu/README.md b/pages/students/2021/manohar_gowdru_shridharu/README.md
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--- a/pages/students/2021/manohar_gowdru_shridharu/README.md
+++ b/pages/students/2021/manohar_gowdru_shridharu/README.md
@@ -52,6 +52,39 @@ Resources:
 - [Resources and benchmark corpora for hate speech detection: a systematic review]
 (https://link.springer.com/article/10.1007/s10579-020-09502-8) 
 
+14.7:
+
+    Installed VPN - Done 
+    Setup School GITHUB - Done 
+    Set up a repository for experiments, use the school git server git.kemt.fei.tuke.sk. - Done 
+    Pick a feasible dataset and method to start with. - Done 
+    Try to prepare an experiment with the selected dataset. - Done 
+    Summarize the results in the table and publish the table on git. . - Done 
+    Finish experiments, upload source codes into git, and describe the experiments. . - Done 
+    For preparing a web application with demo, learn about streamlit. . - Done 
+    Publish experiments into the repository. . - Done 
+ 
+Todo:
+    Focus on making a baseline experiment for sentiment classification using classical methods, such as Transformers. 
+
+Papers : 
+
+- https://aclanthology.org/2020.peoples-1.6.pdf 
+- https://aclanthology.org/2022.ltedi-1.14/ 
+- https://arxiv.org/abs/2108.03867 
+- https://arxiv.org/pdf/2112.15417v4.pdf 
+- https://arxiv.org/ftp/arxiv/papers/2202/2202.04725.pdf 
+- https://github.com/manikandan-ravikiran/DOSA/blob/main/EACL_Final_Paper.pdf 
+- https://aclanthology.org/2020.icon-main.13.pdf 
+- http://ceur-ws.org/Vol-3159/T6-4.pdf 
+- https://www.researchgate.net/publication/353819476_Hope_Speech_detection_in_under-resourced_Kannada_language 
+- https://www.researchgate.net/publication/346964457_Creation_of_Corpus_and_analysis_in_Code-Mixed_Kannada-English_Twitter_data_for_Emotion_Prediction 
+- https://www.semanticscholar.org/paper/Detecting-stance-in-kannada-social-media-code-mixed-SrinidhiSkanda-Kumar/f651d67211809f2036ac81c27e55d02bd061ed64 
+- https://www.academia.edu/81920734/Findings_of_the_Sentiment_Analysis_of_Dravidian_Languages_in_Code_Mixed_Text 
+- https://competitions.codalab.org/competitions/30642#learn_the_details 
+- https://paperswithcode.com/paper/creation-of-corpus-and-analysis-in-code-mixed 
+- https://paperswithcode.com/paper/hope-speech-detection-in-under-resourced#code 
+
 ## Meeting 13.6.
 
 - Implemented a Mayfly and Horse Heard Algorithms in Python and Matlab for HS datasets.