This is a Flask-based personality detection project with features including real-time prediction, Reddit mining chatbot, NER tag identification. Personality detection is important for understanding human behavior, improving communication and relationships, and even enhancing mental health treatment.

An end-to-end example of a serverless machine learning pipeline for multiclass classification on AWS with SageMaker Pipelines, Data Wrangler, Athena and XGBoost.

LSTM based Model for Real-time Stock Market Prediction on Unexpected Incidents

This project aims to classify images of butterflies and moths into different species using a custom-built Convolutional Neural Network (CNN) trained from scratch using PyTorch. The project also features an interactive UI using Gradio where users can upload an image and get real-time predictions.

Child labour is a significant problem in most developing countries, damaging, spoiling and destroying children's futures. Child labour can result in extreme bodily and mental harm and even death. To overcome the problem, we have approached a technical solution by creating a model using video classification techniques to detect child labour actvts.

Final Project for CMPT-733@SFU