About the program

During this internship I worked on Machine Learning and Deep Learning models for intelligent data analysis and prediction systems. The internship focused on understanding the concepts of Artificial Intelligence Machine Learning and Neural Networks along with practical implementation using Python and Deep Learning frameworks. I learned how to preprocess datasets perform feature extraction train models and evaluate their performance using different algorithms and techniques. The project involved developing Deep Learning models for prediction and classification tasks using real world datasets. I gained hands on experience in data cleaning model training testing and performance optimization. Different Machine Learning algorithms and Deep Learning architectures were studied and implemented to improve prediction accuracy and efficiency. During the internship I also learned about supervised learning unsupervised learning neural networks convolutional neural networks and model evaluation techniques. I worked with tools and technologies such as Python TensorFlow Keras NumPy Pandas and Matplotlib for data visualization and model development. The internship helped me improve my analytical thinking problem solving skills and technical knowledge in the field of Artificial Intelligence and Deep Learning. It provided practical exposure to industry oriented projects and enhanced my understanding of how Machine Learning and Deep Learning models are applied in real world applications.

Perks

Hands on experience in Machine Learning and Deep Learning Practical exposure to Artificial Intelligence projects Skill development in Python and Deep Learning frameworks Experience in data analysis and model development Improved problem solving and analytical skills Industry oriented project experience Knowledge of Neural Networks and predictive modeling Certificate of Internship completion Team collaboration and project management experience

Who can apply?

Only those candidates can apply who:

1. are from B.Tech. / B.E./ Equivalent
2. and specialisation from
3. are available for duration of 6 Weeks
4. have relevant skills and interests

Terms of Engagement

The intern will work on Machine Learning and Deep Learning projects under the guidance of mentors and supervisors. The intern is expected to complete assigned tasks and project activities within the given timeline while maintaining professionalism and discipline. Regular participation in training sessions project discussions and progress reviews is required. The intern will follow organizational policies maintain confidentiality of project data and submit all required reports and documentation before completion of the internship.

Number of openings

10