My Portfolio
Here's a bunch of stuff I've built while learning to code. If it's here, it should work.
Featured Projects (11 with full descriptions)
More Work
Open Source Contributions
I like helping out with open-source projects:
Competitions & Hackathons
I've competed in a few coding events:
Experiments & Learning Projects
I build small projects to try out new tech:
Most of these aren't on GitHub yet, but I'll get them up there eventually
- •Machine learning model for classifying images using TensorFlow.js and Keras
- •Smart weather station using Raspberry Pi, DHT11 sensor, and real-time data visualization
- •Movie recommendation system using collaborative filtering and Python's Scikit-learn
- •Sentiment analysis on Twitter data using Python's NLTK and visualized with Matplotlib
- •Text classification model for spam detection using Scikit-learn and machine learning techniques
- •Facial recognition system using OpenCV and deep learning techniques
- •Data-driven web app displaying interactive charts and graphs built with Flask
- •Image captioning system using a CNN-RNN model for automatic text generation
- •Time series forecasting model with ARIMA and machine learning using Python
- •Interactive data dashboard built with D3.js to visualize open data (e.g., COVID-19 stats)
- •Machine learning-based handwriting recognition system using TensorFlow and Keras
- •Personal finance tracker with React, integrating machine learning for expense prediction
- •Recommendation engine for books using collaborative filtering and Python's Surprise library
- •Real-time analytics dashboard using Apache Kafka and Python for processing streaming data
- •Image processing pipeline for object detection and tracking using OpenCV
- •Recommendation system for job listings based on user profiles and preferences
- •Voice assistant using speech recognition with Python's SpeechRecognition library
- •Smart home automation system using Arduino and IoT sensors for lighting and temperature control
- •Gesture recognition system using a Raspberry Pi and machine learning models for control interfaces
- •IoT-based smart plant monitoring system with a Raspberry Pi and moisture sensors