AI/ML Application Development

involves designing, building, and deploying applications that leverage Artificial Intelligence (AI) and Machine Learning (ML) models to solve complex problems. It includes:

Data Collection & Preprocessing:Gathering and cleaning data to ensure quality input for model training.
Model Development: Building and training machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
Model Evaluation & Tuning: Optimizing model performance using techniques like hyperparameter tuning and cross-validation.
API Integration: Embedding AI/ML models into applications via RESTful APIs for seamless interaction.
Deployment & Monitoring: Deploying models on cloud platforms or edge devices and continuously monitoring for performance improvements.

AI/ML applications are used in diverse domains such as healthcare, finance, e-commerce, and education to automate tasks, enhance decision-making, and improve user experiences.