1. Stock Price Prediction with GenAI Insights
Use generative AI to predict stock prices, integrating market sentiment and realtime economic indicators.
Tools:
OpenAI API, LangChain, LlamaIndex, Prophet, Darts, Hugging Face, PyTorch Lightning, Pandas, Plotly, yFinance
Hints:
Combine traditional financial indicators with generative models for nuanced sentiment analysis and predictive insights. Utilize backtesting and continuous validation methods
2. Multimodal Sentiment Analysis
Analyze sentiment from diverse data types (text, audio, video) sourced from social media platforms.
Tools:
OpenAI GPT-4 Vision, Hugging Face Transformers, CLIP, Ollama, PyTorch Lightning, TensorFlow, OpenCV, Gradio, Pillow
Hints:
Integrate transformer-based multimodal models to enhance accuracy. Prioritize preprocessing quality to handle varied data formats effectively
3. Advanced Recommendation Engine
Develop a recommendation system incorporating deep learning and usergenerated content analytics.
Tools:
OpenAI API, LangChain, LlamaIndex, Pinecone, Chroma, Surprise, LightFM, TensorFlow Recommenders, Redis, Airflow
Hints:
Implement hybrid models combining collaborative and content-based filtering. Consider real-time user feedback loops for dynamic recommendations.
4. AI-driven Customer Segmentation
Automate customer segmentation for personalized marketing in e-commerce.
Tools:
scikit-learn, PyCaret, PyTorch Lightning, OpenAI API, SHAP, Plotly, Tableau, Pandas
Hints:
Utilize automated feature selection and advanced clustering techniques. Continuously refine segments using real-time data updates and validation techniques.
5. Real-time Fraud Detection
with AI Build systems capable of detecting fraudulent activities instantly using transaction data.
Tools:
OpenAI API, LangChain, PyTorch Lightning, scikit-learn, XGBoost, Apache Kafka, TensorFlow, Grafana, Prometheus
Hints:
Leverage stream processing frameworks for real-time detection. Use explainable AI techniques for regulatory compliance and transparency.
6. Predictive Healthcare Analytics
Forecast patient health outcomes and potential risks using historical medical data.
Tools:
OpenAI API, Hugging Face (ClinicalBERT), LangChain, LlamaIndex, PyTorch Lightning, scikit-learn, Pandas, FHIR API, Streamlit
Hints:
Focus on interpretability of predictions to facilitate trust and clinical adoption. Ensure compliance with data privacy regulations (e.g., HIPAA).
7. Real-time Autonomous Image Recognition
Create image recognition systems for diagnostics, security, or autonomous navigation.
Tools:
OpenAI GPT-4 Vision, Hugging Face ViT/DETR/YOLO, Ollama, PyTorch Lightning, TensorRT, OpenCV, Kafka, NVIDIA Jetson
Hints:
Apply transfer learning with pretrained models. Optimize models for real-time edge computing using lightweight architectures..
8. GenAI-powered Smart Retail Experience
Enhance retail customer experience through personalized interactions and inventory management.
Tools:
OpenAI API, LangChain, LlamaIndex, Ollama, Pinecone, Chroma, scikit-learn, FastAPI, React.js, Streamlit
Hints:
Implement generative AI for personalized marketing content and intelligent inventory predictions. Optimize for real-time responsiveness in retail environments
9. GenAI Customer Support Assistant
Develop generative AI-powered systems to automate and enhance customer support services, build RAG for fetching internal data.
Tools:
OpenAI API, LangChain, LlamaIndex, Ollama, Rasa, Pinecone, Chroma, FastAPI, React.js
Hints:
Focus on natural conversational flows and contextual understanding. The model should be able to fetch internal contextual data. Prioritize ethical AI practices and data privacy considerations.
10. Predictive MaintenanceSystems
Predict equipment failures and optimize maintenance schedules.
Tools:
API, LangChain, LlamaIndex, scikit-learn, XGBoost, PyTorch Lightning, Apache Kafka, AWS IoT, Grafana, MLflow
Hints:
Apply cutting-edge anomaly detection models like VAEs, and LSTM networks for time-series data. Leverage real-time streaming analytics with Apache Kafka for immediate detection and response.
