⚡Global Hack Week (AI-ML) Challenge Submission
Welcome to 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:
- ✅ Build Your First AI game
- ✅ Process Dataset
- ✅ Implement Data Structures
- ✅ Use Speech to Text or Text to Speech
- ✅ Try Using NLP
- ✅ Leverage Sentiment Analysis
- ✅ Hack with ChatGPT
- ✅ Detect Spam
- ✅ Movie Recommender
- ✅ 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! 🙏
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