My Work ⚙️
Fake News Detection
Custom Fake News Detection model leveraging Machine Learning and Natural Language Processing. First Hackathon project where I led my team to secure 2nd place out of 49 teams.
Technologies Used: Python, NLTK, Sklearn, Text Mining, matplotlib, Flask, Twilio API, Tweepy, Pandas.
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Microsoft Teams Attendance Manager
Application to calculate attendance on Microsoft Teams. 200+ users and 80+ returning users.
Technologies Used: Python, Flask, Pandas, Flask-Mail.
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Bitcoin Profit Calculator
Calculates the profits a user would've made, had they chosen to invest in Bitcoin before the hype. 500+ Users in the first week
Technologies Used: Python, Flask, REST API, JavaScript, jQuery, AJAX, HTML, Sass
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Lead Manager CRM
CRM Lead Management Software that stores the name, email and a custom message of every Lead. Leads can be retrieved, created, updated or deleted from the database.
Technologies Used: Python, React, Django REST Framework, PostgreSQL, Javascript, Material UI, Context API and Hooks.
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Fake News Detecting Twitter Bot
Twitter Bot that replies to a tweet when tagged, identifying the headline as REAL or FAKE.
Technologies Used: Python, NLTK, Sklearn, Text Mining, matplotlib, Flask, Twilio API, Tweepy, Pandas.
Twitter Sentiment Analysis
A program that fetches the most recent tweets with a query term and classify tweets as positive, negative or neutral.
Technologies Used: Python, Tweepy, TextBlob, Pandas.
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Zen Chatroom
Chatroom that lets users enter a nickname and start sending messages publicly.
Technologies Used: PHP, jQuery, AJAX.
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Google Hangouts Bot
Python script that automatically logs the user into their gmail account and sends a message to a specified email address.
Technologies Used: Python, Selenium.
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ZenHue
Python program to turn on and randomize the colour of my Philips Hue bulbs.
Technologies Used: Python, Requests.
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WhatsApp Web Automation
Automation script that sends a message or a set of messages to a contact on WhatsApp.
Technologies Used: Python, Selenium.
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Predicting Sales Revenue
Linear regression model using Python that predicts sales revenue. Uses an advertising data set to predict sales revenue based on advertising spending through mediums such as TV, radio, and newspaper.
Technologies Used: Python, Machine Learning, Data Visualisation, Linear Regression, Exploratory Data Analysis, Scikit-Learn, Pandas
Fake News Detecting WhatsApp Bot
WhatsApp Bot that replies to a message when tagged, identifying the headline as REAL or FAKE.
Technologies Used: Python, NLTK, Sklearn, Text Mining, matplotlib, Flask, Twilio API, Tweepy, Pandas.
