Project Ideas
- Spam Email Detector
Create a model that classifies emails as spam or not spam. Use machine learning algorithms like Naive Bayes or Support Vector Machines (SVM) to analyze features such as keywords and email formatting. This project helps you understand classification techniques and data preprocessing.
- Image Classification with ImageNet
Build a convolutional neural network (CNN) to classify images using the ImageNet dataset. This project will introduce you to deep learning frameworks like TensorFlow or PyTorch, and you'll learn about image preprocessing, model training, and evaluation.
- Personal Assistant Bot
Develop a personal assistant bot using an AI language model like ChatGPT. Program it to manage schedules, set reminders, and answer common queries. This project can be enhanced with voice recognition for more interactivity.
- Movie Recommendation System
Design an AI algorithm that suggests movies based on user preferences and viewing history. Utilize collaborative filtering techniques to analyze user-item interactions, providing insights into recommendation systems.
- Face Detection System
Create a system that identifies and locates human faces in images or video streams using pre-trained models like Haar Cascades or deep learning frameworks. This foundational project showcases the applications of computer vision in security and social media.
- Gesture Recognition Application
Build a web application that recognizes hand gestures using a dataset of labeled gestures. Train your model with frameworks like TensorFlow or Keras, and use OpenCV for real-time video processing to detect gestures.
- Sentiment Analysis Tool
Analyze social media posts or product reviews to determine sentiment (positive, negative, neutral). Use Natural Language Processing (NLP) libraries such as NLTK or TextBlob to extract insights from text data.
- Color Detection Model
Create a model that detects the color of objects in images. Use datasets available on platforms like Kaggle, and implement algorithms to convert images into RGB channels for color classification.
- Interactive Storytelling Application
Leverage AI capabilities to build an interactive storytelling app where users make choices that influence the story's direction. Use ChatGPT to generate dynamic narratives based on user inputs.
- Handwritten Digit Recognition
Develop a model that can recognize handwritten digits using the MNIST dataset. This project involves training a neural network to classify images of handwritten numbers, providing hands-on experience with image recognition tasks.