In this project, I developed a 15-puzzle solver using Python. The project focuses on solving the classic 15-puzzle game using algorithms such as A* and BFS (Breadth-First Search). I used heuristics like Manhattan Distance to optimize the solver.
Learn more on my GitHub repository.
This project extends the 15 Puzzle Solver with a Graphical User Interface (GUI) built using Pygame. The interface allows users to visualize the puzzle and interact with the solver in real-time. This made the puzzle-solving process more intuitive and user-friendly.
Learn more on my GitHub repository.
My Homework Tracker project is designed to help students manage their tasks and homework. I built it using Python, CSV, and added a colorful GUI with Pygame. The app tracks subjects, descriptions, due dates, and priorities. It also sends reminders via email or Telegram.
Learn more on my GitHub repository.
Dream Insights is a project that analyzes dream descriptions to predict various factors like lucidity, emotional intensity, realism, etc. I built it using machine learning models, including Random Forest Regression, and used PCA for visualizing the data. The project also includes a web interface for inputting dream descriptions and getting predictions.
Learn more on my GitHub repository.
The Scam Detector project is focused on identifying scam content from video transcripts. I used Natural Language Processing (NLP) techniques, including text vectorization and keyword analysis, to detect signs of scams in the text. I also used Machine Learning techniques. The project aims to flag potentially harmful or fraudulent content based on predefined scam indicators.
Learn more on my GitHub repository.