🔟 AI Project Ideas for Beginners
1. Chatbot Development: Build a simple chatbot using Natural Language Processing (NLP) with libraries like NLTK or SpaCy. Train it to respond to common queries.
2. Image Classification: Use a pre-trained model (like MobileNet) to classify images from a dataset (e.g., CIFAR-10) using TensorFlow or PyTorch.
3. Sentiment Analysis: Create a sentiment analysis tool to classify text (e.g., movie reviews) as positive, negative, or neutral using NLP techniques.
4. Recommendation System: Build a recommendation engine using collaborative filtering or content-based filtering techniques to suggest products or movies.
5. Stock Price Prediction: Use time series forecasting models (like ARIMA or LSTM) to predict stock prices based on historical data.
6. Face Recognition: Implement a face recognition system using OpenCV and deep learning techniques to detect and identify faces in images.
7. Voice Assistant: Develop a basic voice assistant that can perform simple tasks (like setting reminders or searching the web) using speech recognition libraries.
8. Handwritten Digit Recognition: Use the MNIST dataset to build a neural network that recognizes handwritten digits with TensorFlow or PyTorch.
9. Game AI: Create an AI that can play a simple game (like Tic-Tac-Toe) using Minimax algorithm or reinforcement learning.
10. Automated News Summarizer: Build a tool that summarizes news articles using NLP techniques like extractive or abstractive summarization.
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
Credits: https://t.me/datasciencefun
Like if you need similar content 😄👍
ENJOY LEARNING 👍👍
1. Chatbot Development: Build a simple chatbot using Natural Language Processing (NLP) with libraries like NLTK or SpaCy. Train it to respond to common queries.
2. Image Classification: Use a pre-trained model (like MobileNet) to classify images from a dataset (e.g., CIFAR-10) using TensorFlow or PyTorch.
3. Sentiment Analysis: Create a sentiment analysis tool to classify text (e.g., movie reviews) as positive, negative, or neutral using NLP techniques.
4. Recommendation System: Build a recommendation engine using collaborative filtering or content-based filtering techniques to suggest products or movies.
5. Stock Price Prediction: Use time series forecasting models (like ARIMA or LSTM) to predict stock prices based on historical data.
6. Face Recognition: Implement a face recognition system using OpenCV and deep learning techniques to detect and identify faces in images.
7. Voice Assistant: Develop a basic voice assistant that can perform simple tasks (like setting reminders or searching the web) using speech recognition libraries.
8. Handwritten Digit Recognition: Use the MNIST dataset to build a neural network that recognizes handwritten digits with TensorFlow or PyTorch.
9. Game AI: Create an AI that can play a simple game (like Tic-Tac-Toe) using Minimax algorithm or reinforcement learning.
10. Automated News Summarizer: Build a tool that summarizes news articles using NLP techniques like extractive or abstractive summarization.
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
Credits: https://t.me/datasciencefun
Like if you need similar content 😄👍
ENJOY LEARNING 👍👍
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