Thursday, January 9, 2025

10 beginner-friendly AI and big data projects to help you gain hands-on experience | Learn from Us

 Here are 10 beginner-friendly AI and big data projects to help you gain hands-on experience:




1. Sentiment Analysis on Social Media Data

  • Goal: Analyze public sentiment around a product or event.

  • Skills: Text preprocessing, Natural Language Processing (NLP).

  • Tools: Python, Pandas, NLTK/Spacy, and a dataset from Twitter (via APIs like Tweepy).

  • Big Data Aspect: Work with large social media datasets.

2. Movie Recommendation System

  • Goal: Build a recommendation engine for movies.

  • Skills: Collaborative filtering, content-based filtering.

  • Tools: Python, Scikit-learn, Surprise library.

  • Big Data Aspect: Use large movie datasets like MovieLens.

3. Customer Segmentation

  • Goal: Segment customers based on purchasing behavior.

  • Skills: K-means clustering, data visualization.

  • Tools: Python, NumPy, Matplotlib, and Scikit-learn.

  • Big Data Aspect: Use datasets like Kaggle’s "Online Retail Dataset."

4. Predictive Maintenance

  • Goal: Predict equipment failure using IoT sensor data.

  • Skills: Time-series analysis, supervised learning.

  • Tools: Python, TensorFlow/PyTorch, Pandas.

  • Big Data Aspect: Handle IoT sensor datasets.

5. Fraud Detection

  • Goal: Identify fraudulent transactions in financial data.

  • Skills: Anomaly detection, supervised learning.

  • Tools: Python, Scikit-learn, and a financial fraud dataset.

  • Big Data Aspect: Work with large transaction datasets.

6. AI Chatbot with FAQs

  • Goal: Build a chatbot that answers customer FAQs.

  • Skills: NLP, retrieval-based systems.

  • Tools: Python, Rasa/Dialogflow, Hugging Face Transformers.

  • Big Data Aspect: Train the chatbot on a dataset of customer queries and answers.

7. Traffic Prediction System

  • Goal: Predict traffic congestion in a city using past data.

  • Skills: Time-series forecasting, regression models.

  • Tools: Python, TensorFlow/PyTorch, GeoPandas.

  • Big Data Aspect: Work with traffic sensor datasets or Google Maps API data.

8. Healthcare Data Analysis

  • Goal: Analyze patient records to predict diseases.

  • Skills: Logistic regression, data preprocessing.

  • Tools: Python, TensorFlow, Scikit-learn.

  • Big Data Aspect: Work with healthcare datasets like MIMIC-III.

9. Image Recognition for E-commerce

  • Goal: Build an AI model to classify product images.

  • Skills: Convolutional Neural Networks (CNNs), image preprocessing.

  • Tools: Python, TensorFlow/Keras.

  • Big Data Aspect: Work with datasets like Amazon’s product images dataset.

10. Housing Price Prediction

  • Goal: Predict house prices based on features like location, size, and age.

  • Skills: Regression models, feature engineering.

  • Tools: Python, Scikit-learn, and datasets like the Kaggle "House Prices" dataset.

  • Big Data Aspect: Handle large datasets of real estate properties.

Let me know if you'd like more details about any of these projects!




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