Projects
Stock Analysis AI Crew
ChmlTech Ltd.
Dec 2024 - Jan 2025
This project builds on CrewAI's Stock Analysis example to create an AI-powered stock analysis tool. By using open-source alternatives and integrating Local LLMs with Ollama Mistral embeddings, it offers scalable, flexible, and cost-effective processing of stock data for efficient query handling.
Technologies used:
- CrewAI
- LangChain
- Python
- LangSmith
- Ollama Mistral
Regenerative Impact AI Calculator
Developmeny of an AI-powered calculator that estimates the regenerative impact of a business on the environment. The calculator uses a machine learning model to predict the environmental impact of a business based on its operations and practices.
Technologies used:
- CrewAI
- Python
- Flask
- API
- Machine Learning
Drone Camera Toolbox
Flying Autonomous Robotics Technology
Sept 2024 - Current
Developed as part of our 5th Year Capstone Project - Computer Vision Drone. The toolbox provides a docker environment for all tools needed to control the camera of the drone.
Technologies used:
- Python
- OpenCV
- Kalibr
- ROS
- Docker
- Git
- Linux
- Bash
MovieMart Online Library
Kamloops Film Society
Jun 2024 - Nov 2024
Developed a lightweight ETL pipeline using TMDB API and Google Apps Script to automate data collection and transformation into a Google Sheet database, subsequently integrated with a WordPress website to dynamically populate custom post types.
Technologies used:
- Python
- SQL
- MySQL
- ETL Pipeline Development
- REST API
- Git
- Unix
- PHP
- HTML
- CSS
- JavaScript
Cybersecurity Threat Classifier
Oct 2024 - Nov 2024
This project implements a classification model using a neural network to predict attack categories from the "SENG 4610 Training Data" dataset. The workflow includes data preprocessing, feature engineering, model training, evaluation, and visualization.
Technologies used:
- Python
- pandas
- numpy
- scikit-learn
- TensorFlow
- Matplotlib
- Seaborn
VitalWatch
Sept 2024 - Nov 2024
The Heart Rate Monitor App is an Android application developed in Android Studio to track and manage heart rate data effectively. This app incorporates modern Software Design Patterns to ensure a robust, scalable, and maintainable architecture.
Technologies used:
- Java
- Android Studio
- Google Firebase
- Google Fit API
- Software Design Patterns
- Git
- GitHub
Portfolio Website
Developed a portfolio website to showcase my projects and skills.
Technologies used:
- React
- JavaScript
- HTML5
- CSS3
- Netlify
- Sass
- GitHub
- Git
OnigiriVault
Oct 2024 - Nov 2024
OnigiriVault is an anime and manga recommender app that helps users track and recommend anime based on their preferences. It uses the Jikan API to fetch anime data from MyAnimeList, and it integrates several AWS services to manage user data, store preferences, and Personalize ML Model to generate recommendations.
Technologies used:
- Python
- Postman
- AWS S3
- AWS Cognito
- AWS Lambda
- AWS Step Functions
- API Gateway
- Amazon Xray
- AWS SNS
- AWS Personalize
- Jikan API
InstruTracker
Feb 2024 - March 2024
Created a MERN stack web application for Music Practice Tracking that lets users log their practice sessions, set goals and collaborate with other musicians on the public forum. This project is inspired from apps such as Duolingo, to keep upcoming musicians accountable with their music practice journey.
Technologies used:
- React
- JavaScript
- HTML5
- CSS3
- Node.js
- Express.js
- MongoDB
Want to see more of my projects? Check out my Github