DeepSeek R1 AI: 25 Real World Projects in AI for Beginners

Overview

Unlock the Power of DeepSeek AI with 25 Hands-On Projects

Syllabus

• Introduction to DeepSeek AI
Overview of DeepSeek AI capabilities
Setup and installation of required tools
• Project 1: Sentiment Analysis with Social Media Data
Data scraping and preprocessing
Implementing sentiment analysis using NLP techniques
• Project 2: Image Classification with Convolutional Neural Networks
Understanding convolutional layers
Training a CNN model on a dataset
• Project 3: Time Series Forecasting for Stock Prices
Introduction to time series data
Building and evaluating a predictive model
• Project 4: Customer Segmentation using Clustering
Data exploration and feature selection
Applying k-means clustering
• Project 5: Recommendation System for E-commerce
Collaborative filtering approaches
Building a content-based recommendation system
• Project 6: Chatbot Development with NLP
Natural language processing basics
Designing and deploying a simple rule-based chatbot
• Project 7: Fraud Detection in Transactions
Understanding classification problems
Implementing anomaly detection algorithms
• Project 8: Speech Recognition using RNNs
Fundamentals of recurrent neural networks
Applying RNNs for speech-to-text conversion
• Project 9: Real-time Object Detection in Videos
Overview of object detection frameworks
Real-time implementation using pre-trained models
• Project 10: Predictive Text Input
Language modeling and next word prediction
Integrating predictive text into applications
• Project 11: Emotion Detection in Text
Feature extraction from text data
Classifying emotions using machine learning
• Project 12: Energy Consumption Forecasting
Handling and analyzing energy usage data
Building forecasting models with regression
• Project 13: Personalized Learning Pathways in Education
User profiling and adaptive learning techniques
Designing a recommendation system for education
• Project 14: Autonomous Navigation for Robotic Cars
Basics of autonomous driving and computer vision
Implementing path planning algorithms
• Project 15: Spam Email Detection
Understanding spam filtering techniques
Building and evaluating a spam detection classifier
• Project 16: Healthcare Diagnosis Assistance
Data preprocessing in healthcare
Designing machine learning models for diagnosis
• Project 17: Music Genre Classification
Audio feature extraction
Training a classifier for genre prediction
• Project 18: Text Summarization with Transformers
Overview of transformer models
Implementing text summarization
• Project 19: Handwriting Recognition
Image preprocessing for handwritten digits
Developing a recognition system using deep learning
• Project 20: Personalized Marketing Campaigns
Customer data analysis and segmentation
Implementing targeted marketing strategies
• Project 21: Real-time Language Translation
Machine translation fundamentals
Using neural networks for translation
• Project 22: Building a Virtual Personal Assistant
Core functionalities of virtual assistants
Integrating voice recognition and task management
• Project 23: Predictive Maintenance in Manufacturing
Sensor data analysis
Implementing predictive maintenance models
• Project 24: Anomaly Detection in Network Traffic
Network security basics
Building a real-time anomaly detection system
• Project 25: Wildfire Prediction with Satellite Data
Remote sensing and satellite imagery analysis
Developing predictive models for wildfire risks
• Conclusion and Next Steps
Recap of AI applications
Resources for further learning and exploration

Taught by

Vivian Aranha

Subjects

Computer Science