I see that is as a Nice Studying enjoy



Our crew decided on Capstone Subject – SmartCarAssist – An AI-based cell software to help shoppers the usage of automobiles. First of all, we mentioned and recognized the top imaginative and prescient of the venture and derived the title closest to its capability.

We applied quite a lot of AI Ideas implemented within the Capstone Mission. A couple of of them had been:

  • Neural Networks
  • Pc Imaginative and prescient
  • Choosing the right knowledge attributes
  • Annotation Equipment

Further Feedback:

The Studying consequence from the capstone venture used to be:

1. Getting very particular to the issue this is being solved is essential for a a hit venture

2. A competent earnings fashion needs to be in position

3, Getting probably the most suitable knowledge first of all crucial as step one for the venture

Those are some key learnings that I derived from the capstone venture.

The Capstone Enjoy used to be Wonderful.

Each and every step used to be new and try to visualize the issue from other angles. It required a technical, monetary, and commercial view. In each and every overview name, we won a brand new standpoint that added a large number of worth to the file collated

I see that is as a Nice Studying enjoy and each and every subsequent step has been extraordinarily informative.

Further Feedback:

The total PGP AIFL program used to be a terrific enjoy.

I believe the path has in point of fact been a Nice Studying.

To me (A java developer /Cloud Advisory Guide), it provides a brand new realm of Knowledge, AI, and Device studying. Right through the path, I needed to repeatedly be on my feet to make justice with magnificence and assessments and initiatives – I believe that is the most efficient phase and each and every minute used to be value it.

Thanks for making it this manner, because it assists in keeping us engaged.

I’m taking a look ahead to making use of AI in my Cloud Advisory engagements as we paintings on knowledge to know and are expecting the fitting touchdown zone for the appliance. Like:

  • What Cloud might be the most efficient touchdown zone,
  • What provider fashion can also be really helpful,
  • Whether or not an software must ne containerized, and extra.

Finally, I need to thank Prof Anwesh for the very helpful steerage right through the Capstone Mission, the entire instructors – because the recordings had been like oceans of data, Padma Priya Saraswatula, Prof Jatinder Bedi, Professor Abhinanda Sarkar, and Priya Bohra – for nice coordination and help.



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