Sentimento, a social media assisting platform with sentiment analysis feature is a mobile application built using Flutter for front end, Flask for back end and Multinomial Naive Bayes Theorem for the algorithmic part.

Undergraduate Final Year Project of student Prashant Ghimire at

• Final Report
• Risk Identification and Assessment Document
• Software Requirement Specification
• User Manual
• Weekly Task Information

Sentimento uses a number of open source projects to work properly:

• Flutter - Cross platform application development kit
• Flask - Micro web framework written in Python
• MultinomialNB - Probabilistic Classifier with discrete features
• NumPy - Support for large, multi-dimensional arrays and matrices
• Tweepy - For accessing Twitter API
• Google API Core - For accessing YouTube API
• Vs Code - Used this code editor for the project
• GitHub - Used as version control
• Postman API Platform - Used to test built API's

Sentimento application can either be used by installing from Google Play

can be used by cloning this repository

• To run the frontend application you are expected to have the Flutter setup ready on your system.

• To run the backend application, install the python dependencies as listed in requirements file.

cd backend-flask # to go inside backend dir virtualenv env # to use separate environment to run sudo pip install -r requirements.txt # to get packages source env/bin/activate # to start using environment flask run --port=80 # to start the backend application

Verify the deployment by navigating to your server address in your preferred browser.

127.0.0.1:80

Sentimento application available on Google Play is a private forked version of this final year project repository.

Please do email at hi@ghimireprashant.com.np for any purpose.