Here are some of my Project Work.
The most important feature of this webapp is to display whether the news is fake or real. Also, whether it is clickbait or not along with the News summary and Title. Also, one can check for live fake or real news which is constantly updated with the help of News API. ML Models we used were Multinomial Naive Bayes, paired with an NLTK keyword extractor for clickbait classification, and Passive Aggressive Classifier for fake news detection. Other tech stack includes Mongodb Atlas and hosted on heroku.Live Project
Microsoft Student Partner
Hosting events, giving workshops and organizing hackathons.
Growing and nurturing a vibrant community of students and faculty on-campus and off-campus.
Enhance their skills with the help of Microsoft and its technology.
Leading, helping others, and growing self as well local community’s skills.
Data Analytics Intern
Assessing data from multiple data sources, identify, analyze, and interpret trends or patterns in collected data sets
Interpreting data, analyzing results using Python& ML statistical techniques and provide ongoing reports.
Performing Expolatory data analysis.
was under the supervision of Mr. Raghunandan MV who is the network administrator of IGIB
establishing the networking environment by designing system configuration.
maximizing network performance by monitoring performance, troubleshooting network problems and outages
Bachelor of Technology
8.52 CGPA(upto 3rd year)