Artificial Intelligence (AI) - Internship

Selected intern's day-to-day responsibilities include:

A. Data collection & preparation:

1\. Collect datasets from internal systems, APIs, or public sources.

2\. Clean, preprocess, and normalize data for training AI models.

3\. Handle missing values, outliers, and categorical data

B. Research & exploration:

1\. Explore datasets to identify patterns and insights.

2\. Conduct literature reviews on AI techniques relevant to the project.

3\. Understand business problems and define AI solutions.

C. Model development & training:

1\. Assist in building AI/ML/DL models using frameworks like TensorFlow,

PyTorch, or Keras.

2\. Experiment with different algorithms (neural networks, NLP models,

computer vision models, reinforcement learning, etc.).

3\. Train models on datasets and optimize hyperparameters for better

performance.

D. Model evaluation:

1\. Test models using validation and test datasets.

2\. Evaluate performance with metrics like accuracy, precision, recall,

F1-score, ROC-AUC, or MSE.

3\. Compare multiple models to select the best-performing one.

4\. Deployment & Integration Support

5\. Assist in deploying AI models for practical applications (chatbots,

predictive systems, recommendation engines).

6\. Monitor model performance and suggest improvements.

7\. Document deployment workflows for team reference.