A Python framework for detangling data wrangling.

Developed an app to predict whether food reviews are positive or negative using linear SVM on amazon fine food review dataset and deployed it on localhost

Submission for the HobbyHacks hackathon. A tool to help league of legends players stop being noobs using riot api.

A content-based books recommender system using cosine similarity on goodbooks-10k_books datasets

Utilized SparkML and Scikit-Learn train several machine learning models for distinguishing fraudulent and legitimate transactions. The machine learning models are then utilized to make predictions on Kafka-generated real-time data streams. Built an interface for displaying these predictions in real-time using the Streamlit framework.

Пример прототипа ML приложения для прогнозирования глубины и ширины сварного шва

Academic Machine Learning (6 months) Sessional Project

A model for predicting various diseases like Diabetes, Heart Disease and Parkinson's

Welcome to the Python Electronics Inventory Management System project repository! This project is a demonstration of Object-Oriented Programming (OOP) principles in Python for managing an electronic parts inventory.

A simple Server-Client model that uses TCP Connection for streaming Live Grayscale Video from one device's camera to another device's screen on the same LAN (Local Area Network)

Classification of civil unrest relevant tweets in the Mexico region using SVM (Support Vector Machine) classifier.

A program that suggests university courses based on your program and provides a custom GUI to customize your course plan. Created to help UofT students.

Real-Time Face Emotion Detection System is an innovative project designed to detect and classify human emotions

creating a mosaic of images with different color magnitude filters to produce a single color image

exercising function

🎙️ Virtual Voice Assistance is your digital companion, ready to assist you with a variety of tasks using just your voice! From fetching the latest news headlines 📰 to telling jokes 😄, providing weather updates ☀️, sending emails 📧, and much more, it's your go-to AI helper for seamless interaction with your computer.

Explore house price prediction using Decision Tree and Random Forest models.

Developing an application to analyze whether a message is spam or ham using Flask.

Summarize an article based on a url.