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03-03-2025
**REPORT OF News
news Topic Buddy Mentorship Program
Date & Day 3rd March, 2025

Event Name: Buddy Mentorship Program

Date & Day: 3 March 2025, Monday 

Buddy Name: Ms. Drishti Sinha, Ms. Vanshika Phogat (BCA IInd year)

Topic: The ML Lab : Experiment & Fun 

Schedule Timing: 1:40 PM Onwards

Number of Students: 35

Venue: Room no. Lab 1


Summary of the Event:

This buddy mentoring session was designed to introduce BCA 1st Year students to the practical applications of Machine Learning. Ms. Drishti Sinha and Ms. Vidushi Phogat  BCA 2nd Year student served as the mentor, shared their knowledge and expertise on the subject. The session focused on discussing the diverse applications of Machine Learning  in various industries and fields. Specific examples were presented to illustrate how Machine Learning  technology is being used to address real-world challenges and improve efficiency. The advantages and benefits of utilizing Machine Learning solutions were highlighted, emphasizing their potential to revolutionize various sectors. Current trends and future advancements in the field of machine  learning were discussed, provided students with a glimpse into the evolving landscape. To reinforce learning and assess understanding, a quiz was conducted at the end of the session. The quiz consisted of questions related to the topics covered which was a fun and was interactive way to test students' knowledge and identify areas where they might need further clarification.

The session was interactive and lots of curiosity was there among 1st year students. Presenter handled every query of the student in a very professional manner. The session was ended with the expectation for more such programs in future.

Learning Outcome: 

  • Students gained a practical understanding of how Machine Learning can be applied to real-world problems and challenges.

  • The session provided valuable insights into the current state and future trends of the Machine Learning industry.

  • The event inspired students to explore the field further and consider the potential impact of Machine Learning on society.






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