PROJECTS
"Failure is simply the opportunity to begin again, this time more intelligently"
Projects have taught me that theory might seem easier when we try to implement them in real life situations. These are a few projects that I've implemented to tackle real world data
Latest Projects
MOVIE RECOMMENDATION WEB APP
This is a web application that recommends movies based on the genre of user input movie. It works on Content Based Recommendation Algorithm. This is connected to another web app developed by me : IMDb Movie Review Sentiment Analyzer App (https://review-sentiment-analyzer.herokuapp.com/). Each movie recommended in the table is a link to the sentiment analyzer app.
MOVIE REVIEW SENTIMENT ANALYZER WEB APP
This is a web application that analyzes the sentiment of each review of the selected movie. It works on the Bernoulli Naive Bayes algorithm. For the selected movie, all reviews are analyzed as either positive or negative. Based on that, each movie is assigned a sentiment score.
COVID-19 DASHBOARD WEB APP
This is an extensive dashboard that reports all the statistics related to the COVID-19 pandemic. It contains two pages :
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The main Dashboard
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The symptom analyzer/checker
The dashboard is the main page of the app that contains visual insights into the statistics of the COVID-19 pandemic. The website has been updated till 8th April,2020. Two main features :
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The heading, which is a link to the latest statistics.
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Another link to the Symptom Checker app.