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Halleluyah Darasimi Oludele Portfolio

  1. Natural Language Processing (NLP):
  • 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
  1. 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
  1. Time Series Analysis:
  • Financial Data Analysis: Analyse and forecast trends in financial markets using time series data. Here
  1. 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)
  1. 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

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