AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

• Strong academic background in Computer Science and Engineering, currently pursuing B.Tech.
• Relevant internship experience in AI/ML, including work on Quantum Machine Learning and practical AI/ML applications at C-DAC Mohali and Rinex AI.
• Demonstrated proficiency in core AI/ML skills: Machine Learning, Deep Learning, Computer Vision, and GenAI models (ResNet, U-Net, GANs, Stable Diffusion).
• Hands-on experience with popular ML frameworks and libraries such as TensorFlow, Keras, Pandas, and OpenCV.
• Practical project experience in Deep Learning (Brain Tumor Detection System), full-stack development (Online Library Website), and ML-based classification (Best Crop Predictor and Plant Disease Detection).
• Experience with full-stack technologies (React.js, Node.js, Express.js, MongoDB, MySQL) for integrating AI models into applications.
• Holds relevant certifications including Microsoft AI-900 and Google Machine Learning Specialization, indicating foundational knowledge.
• Leadership and organizational skills demonstrated through extracurricular activities like Team Lead for GDSC AI/ML and Organizer for DevFest Jalandhar.
• The candidate's profile, including education, internships, projects, and skills, is highly aligned with the requirements and expectations for an AI Intern role.