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

<h5 style="font-family: Roboto; font-size: 0.88rem;"><b>Overall Summary</b></h5>
<ol style="font-family: Roboto; font-size: 0.88rem;">
  <li><b>Roles & Responsibilities:</b> The candidate has experience with machine learning and AI-focused internships and projects, but lacks direct evidence of working on software development tasks involving Python and JavaScript in a collaborative team setting. There is limited mention of debugging, code reviews, or performance optimization, which are key responsibilities in the job description.</li>
  <li><b>Years of Experience:</b> The resume suggests multiple internships, each lasting a few months, indicating less than 1 year of cumulative experience. However, the experience is more research and ML-focused rather than full-stack or software development-focused, which slightly reduces relevance.</li>
  <li><b>Education Qualification:</b> The candidate is pursuing a Bachelor of Technology in Computer Science with a specialization in AI & ML. While not explicitly a Bachelor of Engineering, it is equivalent and acceptable. The degree is ongoing, which slightly reduces the score under strict evaluation.</li>
  <li><b>Skills/Knowledge:</b> The candidate lists Python, JavaScript, Git, Pandas, and object-oriented programming (OOP) among technical skills. However, there is no mention of DOM manipulation, ES6+ features, semantic HTML, accessibility principles, or browser developer tools. HTML is indirectly referenced via Flask and Bootstrap projects, but not explicitly.</li>
  <li><b>Domain/Industry:</b> The candidate has worked in tech-focused internships and projects, particularly in ML and AI, which fall under the broader Information Technology and Software Development domain. However, the lack of direct software development or web development industry experience limits the score.</li>
  <li><b>Key Competencies:</b> The resume demonstrates problem-solving, teamwork, and communication through projects and internships. There is some evidence of adaptability and continuous learning via certifications and diverse project work. However, there is no mention of leadership, mentoring, or architectural understanding, and limited evidence of code quality or scalability optimization.</li>
  <li><b>Certifications:</b> The candidate holds certifications in Machine Learning, Deep Learning, and Android Development. While these are relevant to Python and ML, there are no certifications directly related to JavaScript, Git, DOM manipulation, or HTML5. The certifications are valuable but not fully aligned with the job’s required stack.</li>
</ol>