Cinemago
Movie Genre Detection
Network Emulator
Python Projects
Gameboy 1984
Game of Life
Machine Learning Classification System
A machine learning model that predicts movie
genres based on trailers.
The system uses NLP techniques to analyze text data and classify
movies into multiple genres with probability scores for each
category.
Key Features:
• Handles multi-label classification
• Includes model evaluation metrics (precision, recall, F1-score)
Movie recommendation site.
Cinemago is a movie discovery and rating platform built using Flask. Users can browse, rate, and suggest movies. Admins can add new content via web scraping, and user preferences are stored in a lightweight SQLite database.
Collection of Python-based projects.
Projects focusing on data cleaning, natural
language processing (NLP), statistical analysis, and basic machine
learning.
These projects reflect my applied learning.
The Network Emulator simulates a computer network.
The computer network consisting of routers
and end machines (e.g., computers).
Messages are sent from one device to another
using destination addresses and follow a routing path across
multiple routers. This project aims to simulate routing, queuing,
and message handling in a simplified network.
C++ based Gameboy.
A lightweight C++ collection of classic games(Snake, Wordle, Hangman), built with simplicity, logic, and fun in mind, it is modeled on the GameBoy made by Nintendo in 1989.
Cellular automaton simulation
An implementation of John Conway's Game of Life, a zero-player game that simulates cellular evolution based on simple rules. The simulation runs on a 2D grid where each cell can be alive or dead, evolving through generations. Features include adjustable grid size, speed control, and pattern saving/loading.