⚡Global Hack Week (AI-ML) Challenge Submission

Welcome to the repository for my submissions to the Global Hack Week AI-ML challenges organized by MLH (Major League Hacking). Throughout the week, I participated in various workshops, learned basic to advanced AI-ML techniques, and worked on several projects. Below is a summary of the challenges I completed along with brief descriptions of the projects I created. 🚀

Challenges Completed:

1. ✅ Build Your First AI game
2. ✅ Process Dataset
3. ✅ Implement Data Structures
4. ✅ Use Speech to Text or Text to Speech
5. ✅ Try Using NLP
6. ✅ Leverage Sentiment Analysis
7. ✅ Hack with ChatGPT
8. ✅ Detect Spam
9. ✅ Movie Recommender
10. ✅ Object Detection

Project Details:

• 🎮 Tetris AI: A Python-based Tetris game with an AI component that autonomously plays the game using various algorithms.

• 📊 Dataset Processing: Utilized Google's data processing techniques to clean, preprocess, and analyze datasets efficiently.

• 📋 Data Structures Demo: Python scripts demonstrating the implementation and usage of various data structures.

• 🗣️ Speech to Text Web App: A web application capable of transcribing audio/video inputs to text using speech-to-text.

• 📈 Sentiment Analysis Dashboard: A dashboard visualizing sentiment analysis results on mobile sales data.

• 📄 PDF Chat Application: An application allowing users to conversational interactions with PDF files using the OpenAI API.

• 🛑 Spam/Ham Detector: A web application that detects spam/ham emails using Multinomial Naive Bayes.

• 🎥 Movie Recommender Engine: Utilized Content based filtering techniques to build a movie recommender system.

• 📸 Custom Object Detection: a custom object detection model using yolov5 to identify underwater plastic trash in images.

How to Run:

Each project is contained within its respective folder in this repository. Detailed instructions on how to set up and run each project can be found in their respective README files. 🛠️

Conclusion:

I thoroughly enjoyed participating in the Global Hack Week AI-ML challenges and learned a lot throughout the process. I'm excited to share my projects and contribute to the AI-ML community. 🤖🌟

Thank you for the opportunity! 🙏