1. Roles & Responsibilities: 4/10  
2. Years of Experience: 6/10  
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 worked on multiple ML-focused internships and projects, but there is limited evidence of direct experience in developing, testing, and maintaining software applications using Python and JavaScript in a collaborative software engineering environment. There is no mention of code reviews, version control practices, or optimization/scalability efforts in a team setting, which are key responsibilities listed.</li>
  <li><b>Years of Experience:</b> The candidate has completed three internships, each lasting 1–3 months, which collectively suggest less than one year of experience. This aligns with the 0–1 year requirement, though the experience is more ML-focused than software development-focused.</li>
  <li><b>Education Qualification:</b> The candidate is pursuing a Bachelor of Technology in Computer Science with specialization in AI & ML. While not explicitly a Bachelor of Engineering, it is equivalent and acceptable. However, the degree is still in progress, which slightly reduces the relevance under strict criteria.</li>
  <li><b>Skills/Knowledge:</b> The resume lists Python, JavaScript, Git, OOP (via coursework), Pandas, and other relevant tools. However, there is no mention of HTML, DOM manipulation, ES6+ features, semantic HTML, or accessibility principles. The presence of Flask and Bootstrap indicates some web development exposure, but not enough to fully meet the skill requirements.</li>
  <li><b>Domain/Industry:</b> The candidate has worked in ML and AI domains, with some exposure to software development through projects like “tECH-inder” and “Tap-a-Tap Payments.” However, the primary focus remains ML, not core software development or IT industry roles, which limits domain alignment.</li>
  <li><b>Key Competencies:</b> The resume reflects problem-solving, teamwork, and communication through internships and projects. There is some evidence of clean coding (Flask project), but no mention of code reviews, scalability, or mentoring. Debugging is implied but not explicitly stated. Continuous learning is evident through certifications.</li>
  <li><b>Certifications:</b> The candidate holds several relevant certifications in ML, Python, and Deep Learning. However, there are no certifications specifically in JavaScript, HTML, Git, or front-end technologies. The certifications are more ML-centric than aligned with the job’s software development focus.</li>
</ol>