Hands-On AI/ML Projects
Build your portfolio with industry-relevant AI projects. Each project includes step-by-step guidance, source code, and deployment instructions.
Computer Vision
5 projectsImage Classification with CNNs
Build a CNN to classify images using TensorFlow and transfer learning
Real-time Object Detection
Implement YOLO for detecting objects in video streams
Face Recognition System
Build a face detection and recognition system using deep learning
Image Segmentation
Semantic and instance segmentation using U-Net and Mask R-CNN
Pose Estimation
Human pose estimation using MediaPipe and custom models
Natural Language Processing
5 projectsSentiment Analysis
Analyze customer reviews using BERT and transformers
Text Summarization
Build an abstractive summarization system using T5
Question Answering Bot
Create a QA system using retrieval-augmented generation
Named Entity Recognition
Extract entities from text using spaCy and transformers
Language Translation
Build a neural machine translation system
Generative AI
5 projectsAI Chatbot with LLMs
Build a conversational AI using OpenAI API and LangChain
Image Generation with Stable Diffusion
Create custom images using diffusion models
RAG Application
Build a retrieval-augmented generation system for documents
Fine-tune LLM
Fine-tune a language model for specific domain tasks
AI Content Generator
Build a blog/article generator with custom prompts
Predictive Analytics
5 projectsStock Price Predictor
Predict stock prices using LSTM and time series analysis
Customer Churn Prediction
Predict customer churn using classification models
Fraud Detection System
Detect fraudulent transactions using anomaly detection
Demand Forecasting
Forecast product demand using Prophet and ML models
Healthcare Prediction
Predict disease outcomes using medical datasets
Reinforcement Learning
4 projectsGame AI Agent
Train an agent to play Atari games using DQN
Trading Bot
Build a RL-based trading strategy
Robot Navigation
Simulate robot navigation using policy gradients
Multi-Agent System
Implement cooperative/competitive multi-agent RL
MLOps & Deployment
4 projectsML Pipeline with MLflow
Build end-to-end ML pipeline with experiment tracking
Model API with FastAPI
Deploy ML models as REST APIs
Containerized ML App
Dockerize and deploy ML applications on cloud
Real-time ML System
Build streaming ML pipeline with Kafka and Spark
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