1. Roles & Responsibilities: 4/10  
2. Years of Experience: 6/10  
3. Education Qualification: 8/10  
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 worked on multiple machine learning and AI-based projects and internships, but there is limited evidence of direct experience in developing, testing, and maintaining software applications using Python and JavaScript in a structured software development environment. There is also minimal mention of collaboration with senior developers, code reviews, or version control practices like Git in a team setting.</li>
  <li><b>Years of Experience:</b> The candidate has completed multiple internships, each lasting a few months, which collectively amount to less than a year of experience. This aligns moderately well with the requirement of 0 to 1 year of experience.</li>
  <li><b>Education Qualification:</b> The candidate is pursuing a Bachelor of Technology in Computer Science with a specialization in AI & ML from SRM Institute of Science and Technology. This is equivalent to a Bachelor of Engineering and meets the educational qualification requirement.</li>
  <li><b>Skills/Knowledge:</b> The resume lists Python, JavaScript, Git, Pandas, and other relevant tools and libraries. However, there is no explicit mention of HTML, DOM manipulation, ES6+ features, semantic HTML, accessibility principles, or browser developer tools. Object-oriented programming is mentioned in coursework, but practical application is not clearly demonstrated. Thus, partial alignment is observed.</li>
  <li><b>Domain/Industry:</b> The candidate has experience in software and machine learning development through internships and projects, indicating exposure to the IT and software development domain. However, the focus is more on ML/AI than traditional software development, which slightly limits the domain fit.</li>
  <li><b>Key Competencies:</b> The candidate demonstrates problem-solving, debugging, and communication skills through projects and internships. However, there is limited evidence of code optimization, scalability, performance tuning, or leadership in project components. Collaboration is implied but not explicitly detailed.</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 specifically in JavaScript, Git, HTML, or OOP. Hence, the certification fit is moderate.</li>
</ol>