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Sentiment Analysis of Emotions: Developed a model to analyse emotions in tweets to understand the user psyche. Went on to develop a web app that can take respective tweets and analyse them for trends in emotional patterns. Won honourable mentions at the Cohere AI Hackathon. Here
Web Data Mining: Created a python script that scrapes a website and uses Gemini API to create a more concise and storylike version, specifically tailored for people with ADHD. Here
Computer Vision:
Object Detection and Recognition: Develop a model to detect and classify various waste materials and also a model to classify different plastic bottles for a robotic arm. Here
Time Series Analysis:
Financial Data Analysis: Analyse and forecast trends in financial markets using time series data. Here
Healthcare Analytics:
Drug Discovery and Development: Use machine learning techniques to accelerate the discovery and development of new pharmaceutical drugs. Here
Breast Cancer Prediction App: A web app that uses machine learning models to predict whether a breast cancer is benign or malignant. (In progress)
Other Projects
Worked on a team to coordinate the building of a chrome extension for patients with ADHD that can take in the contents of a website and generate a more concise version and summary of the website. This was for the Gemini Ultra Hackathon. Project link
Automation Tools for Tableau: Developed an automation tool named "Marketeer" to scrape data and publish it to Tableau, streamlining data visualisation processes. This was for the Tableau DataDev Hackathon. Portfolio link
Robotic Arm with the Capability to Sort Waste. This was built for the UI/UNILAG Design Competition
Expenses Web App: Currently building an expenses web app using Django, enabling users to input expenses into a database and view analysis through a web interface, enhancing personal finance management, also equipping it with ML algorithms to predict future expenses and trends. Soon