Scoring Format:
1. Roles & Responsibilities: 4/10
2. Years of Experience: 0/10
3. Education Qualification: 2/10
4. Skills/Knowledge: 4/10
5. Domain/Industry: 0/10
6. Key Competencies: 0/10

Descriptive Analysis:
Overall Summary:
The candidate's resume shows some alignment with the job requirements, but there are also significant gaps and weaknesses.

- Roles & Responsibilities: The candidate's resume mentions experience in social media marketing internships, which indicates some familiarity with developing and implementing digital marketing strategies. However, there is no mention of managing and optimizing the presence of AI-based software products, creating compelling content, analyzing campaign performance, or staying updated with industry trends. Therefore, the score is 4/10.

- Years of Experience: The resume does not provide any information about the candidate's years of experience, resulting in a score of 0/10.

- Education Qualification: The resume includes the candidate's educational qualifications, such as pursuing a PGPM at ICFAI Business School and a B.Com degree from Amity University. However, there is no mention of any specific degree related to digital marketing or AI. Therefore, the score is 2/10.

- Skills/Knowledge: The resume mentions skills such as good communication, adaptability, flexibility, presentation skills, and teamwork. While these skills are valuable, they do not directly align with the primary skills required for the job, such as digital marketing, content creation, SEO optimization, data analysis, trend forecasting, and client presentations. Therefore, the score is 4/10.

- Domain/Industry: The resume does not mention any specific knowledge or experience in the generative AI domain, resulting in a score of 0/10.

- Key Competencies: The resume does not provide any information about the candidate's key competencies, resulting in a score of 0/10.

Overall, the candidate's resume falls short in several key areas. While there is some alignment with the roles and responsibilities, the lack of experience, specific education qualification, skills/knowledge, domain/industry knowledge, and key competencies make the candidate less suitable for the job. Further evaluation and clarification of these areas would be necessary to determine the candidate's fitment.