An end-to-end example of a serverless machine learning pipeline for multiclass classification on AWS with SageMaker Pipelines, Data Wrangler, Athena and XGBoost.
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.
🧠 URDU-OCR-CNN – an AI-powered handwritten Urdu recognition system (Urdu Alphabets + Urdu Digits) built using a custom Convolutional Neural Network (CNN). Supports 🖼️ image upload and ✏️ live canvas input, provides ⚡ real-time predictions with 📊 confidence scores, achieves 🎯 95%+ accuracy, and includes tools for model training and evaluation.
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
Add a description, image, and links to the realtime-prediction topic page so that developers can more easily learn about it.
To associate your repository with the realtime-prediction topic, visit your repo's landing page and select "manage topics."