AI, Machine Learning & Deep Learning
End-to-end ML/DL pipelines with training, evaluation and a working demo — in Python or MATLAB.
- Disease prediction & medical diagnosis (CNN/ML)
- Crop, traffic, fraud & sentiment prediction models
- Recommendation systems & time-series forecasting
20 latest project titles
- Federated learning for privacy-preserving multi-hospital disease prediction
- Explainable AI (SHAP/LIME) dashboard for loan-default risk scoring
- Retrieval-augmented generation (RAG) assistant for college admission queries
- Agentic AI workflow with tool-calling LLMs for task automation
- LoRA fine-tuned domain LLM for legal document question answering
- Multimodal emotion recognition fusing text, audio and facial cues
- Self-supervised crop-yield forecasting from satellite time-series
- Graph neural network for credit-card fraud-ring detection
- Reinforcement-learning agent for adaptive, energy-efficient traffic signals
- Diffusion-model synthetic data generation for imbalanced medical datasets
- Few-shot learning for rare-disease diagnosis from limited samples
- Transformer-based stock/crypto forecasting with news-sentiment fusion
- Neuro-symbolic recommender combining knowledge graphs and deep learning
- AI resume-to-job matching with bias detection and fairness audit
- Continual-learning model for evolving spam and phishing patterns
- Vision-language model for automated radiology report generation
- Predictive maintenance using sensor time-series and anomaly autoencoders
- Federated recommendation system for on-device personalization
- LLM-powered code review and vulnerability-explanation assistant
- Carbon-aware ML: model compression for green, low-energy inference