1. Knowledge Enhancement:

• Organize workshops and seminars: Invite industry experts and researchers to deliver talks on various AI topics like machine learning, deep learning, computer vision, natural language processing, and ethical considerations in AI.
• Host study sessions and discussion groups: Encourage peer-to-peer learning by organizing sessions where members can discuss complex AI concepts, share resources, and learn from each other.
• Maintain a knowledge repository: Create a central platform (website, online forum, etc.) where members can access learning materials, tutorials, code examples, and project ideas related to AI and other trending technologies and tools which will help the students to enhance their skills towards placement.

2. Skill Development:

• Conduct hands-on workshops: Provide practical experience by hosting workshops on popular AI frameworks like TensorFlow, PyTorch, and scikit-learn, Data visualization tools like Power BI, Tableau, UI/UX Designing, MongoDB etc.
• Organize coding competitions and hackathons: Encourage problem-solving and application of AI by organizing challenges where members can code AI solutions to real-world problems.
• Offer mentorship programs: Connect experienced members with new members to provide guidance and support in learning AI and building projects.

3. Community Building:

• Organize AI-themed social events: Facilitate networking and collaboration by organizing events like movie screenings, game nights, or career discussions related to AI.
• Participate in inter-college competitions and hackathons: Represent the college in AI-related competitions, showcasing the club's talent and promoting collaboration with other institutions.
• Collaborate with other clubs: Partner with other technical clubs on projects that intersect with AI, like robotics club, data science club, or game development club.

4. Outreach and Advocacy:

• Organize AI awareness campaigns: Raise awareness about the potential of AI in society and its impact on various fields through talks, workshops, and presentations in schools or community centres.
• Volunteer for AI-related projects: Contribute to open-source AI projects or volunteer for local organizations working on AI-driven solutions for social good.
• Engage in discussions on AI ethics: Encourage critical thinking and responsible AI development by organizing discussions on the ethical implications of AI.