30 Days Internship on Artificial Intelligence

✅Day 1: Introduction to AI | Introduction to Dialogflow | How to create your own chatbot using DialogFlow
Machine Learning
✅Day 2: python for AI and Libraries: Nupmy, Pandas, Matplotlib, Scikit-Learn
✅Day 3: Linear Algebra and Calculus
✅Day 4: Introduction To ML Model | Supervised: Logistic Regression, Decision Tree, Random Forest etc. | House Price Prediction Using Regression Model.
✅Day 5: Unsupervised ML Model | Clustering I Dimensionality Reduction | Association Rule Mining | Hands on Projects
✅Day 6: Model Evaluation and Cross-Validation: Confusion Matrix, Precision, Recall, F1-score.
Computer Vision
✅Day 7: Introduction to Computer vision & its Libraries: OpenCV, Ultralytics, darknet, yolov5, yolov8 | Camera calibration using OpenCV
✅Day 8: Face detection & Tracking using OpenCV and Haar Cascade
✅Day 9: Face recognition using OpenCV
✅Day 10: Face Emotion recognition using OpenCV
✅Day 11: Object Tracking based on color using OpenCV
Deep Learning
✅Day 12: Introduction to Deep Learning & Libraries: TensorFlow | Keras
✅Day 13: Deep learning algorithm & Designing Neural Network
✅Day 14: Real-time Object recognition using Pre-trained Model
✅Day 15: Image classification using CNN
✅Day 16: Hand Gesture Recognition using DL
✅Day 17: Leaf Disease Detection using Deep Learning
✅Day 18: Attendance System Face Recognition using DL
✅Day 19: Vehicle Detection & Tracking using DL
✅Day 20: Drowsiness Detection using DL
✅Day 21: Speech Recognition using DL
✅Day 22: Road Sign Recognition using DL
✅Day 23: AI Snake Game – Reinforcement Learning
Natural Language Processing (NLP)
✅Day 24: Natural Language Processing Essentials: Tokenization | Word2Vec| Steaming | TF-IDF
✅Day 25: Text summarization using NLP
✅Day 26: Sentiment Analysis using NLP
✅Day 27: REAL/Fake news detection using BERT
✅Day 28: Next Word Prediction using LSTM
✅Day 29: Title Generation from Paragraph using NLP
✅Day 30: GAN and OMR sheet