Real-Time Face Recognition System
Build an advanced face recognition system using deep learning that can identify and verify individuals in real-time video streams. Implements CNN architectures like FaceNet and utilizes transfer learning for high accuracy.
Twitter Sentiment Analysis with BERT
Analyze real-time Twitter sentiment using state-of-the-art BERT transformers. Process millions of tweets to understand public opinion on trending topics, brands, or events with high accuracy classification.
YOLO-based Object Detection System
Develop a real-time object detection system using YOLO (You Only Look Once) architecture. Detect and classify multiple objects in images and video streams with bounding boxes and confidence scores.
Intelligent Customer Support Chatbot
Create an AI-powered chatbot using GPT architecture that can handle customer queries, provide product recommendations, and maintain context-aware conversations across multiple domains.
Movie Recommendation Engine
Build a sophisticated recommendation system using collaborative filtering and content-based filtering techniques. Implement matrix factorization and deep learning approaches for personalized suggestions.
Medical Image Classification with CNNs
Develop a medical imaging system to classify X-rays, MRI, or CT scans for disease detection. Uses ResNet and EfficientNet architectures with transfer learning for high diagnostic accuracy.
Stock Price Prediction using LSTM
Build a time-series forecasting model using LSTM networks to predict stock market trends. Incorporates technical indicators, sentiment analysis, and historical data for accurate predictions.
AI Art Generator using StyleGAN
Create photorealistic images from scratch using Generative Adversarial Networks. Implement StyleGAN2 for high-quality image synthesis, face generation, and artistic style transfer applications.
Voice-Controlled Assistant with Speech Recognition
Develop an intelligent voice assistant using deep learning speech recognition models. Process audio input, convert speech to text, understand commands, and execute tasks with natural language understanding.
Credit Card Fraud Detection System
Build an anomaly detection system to identify fraudulent transactions in real-time. Uses ensemble methods, isolation forests, and neural networks to detect suspicious patterns in financial data.