AI AND ML TRAINING PROGRAM BY HAMARI PAHCHAN NGO DAY 3
Day 3 of the AI and ML Training Program organized by Hamari Pahchan NGO focused on building a strong foundation in practical and ethical use of Artificial Intelligence. The session began with a brief recap of the previous lessons, helping participants revise key concepts such as basic machine learning models and data handling techniques.
The main theme of Day 3 was real-world application of AI and ML. Trainers explained how machine learning is used in everyday life, including recommendation systems, healthcare diagnosis, fraud detection, and smart assistants. These examples helped participants understand how theoretical knowledge can be applied to solve real social and industrial problems.
A special segment of the session was dedicated to data importance in machine learning. Learners were introduced to the concepts of datasets, data cleaning, and feature selection in simple language. They were shown how poor-quality data can affect model accuracy and why responsible data usage is essential in AI development.
Another important highlight was the discussion on ethics in artificial intelligence. The trainers explained the risks of bias, privacy issues, and misuse of AI tools. Participants were encouraged to use AI responsibly and design systems that are fair, transparent, and beneficial to society.
The session also included a hands-on activity, where participants worked on small exercises related to data classification and prediction. This practical exposure helped improve their confidence and understanding of machine learning workflows.
Day 3 concluded with an interactive question-and-answer round, where students shared their doubts and experiences. The trainers motivated participants to continue learning and experimenting with AI tools to build useful solutions for community development.
Overall, Day 3 of the AI and ML Training Program by Hamari Pahchan NGO successfully combined theory, practice, and ethical awareness, making it a meaningful step toward empowering youth with future-ready digital skills.
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