Update README.md

README.md

@@ -97,7 +97,7 @@ python3
 6. To generate historgram, run `python3 histogram-finder.py`
 7. Run `python3 corpus-builder.py`, to generate final corpus
 8. Run `python3 gensim-w2v.py`, to embedd the model
-8. Run `python3 ranker.py`, to get the rankins with test data
+9. Run `python3 ranker.py`, to get the rankins with test data
 
 
 
@@ -107,3 +107,19 @@ steps
 1. Get twitter tweets
 2. Run personality_predictor.py
 
+# Rank applicants based on CV details and Personality Traits using tweets - IT17163682
+
+Steps
+1. Run `upload.py` to upload CVs' 
+2. Upload CVs' in the web page
+3. Terminal :
+```
+>>> import nltk
+>>> nltk.download('stopwords')
+>>> nltk.download('punkt')
+>>> nltk.download('averaged_perceptron_tagger')
+>>> nltk.download('maxent_ne_chunker')
+>>> nltk.download('words')
+```
+4. Run `Main.py` to Rank all the applicants
+