1043_Anamika Rai

About

Computer Science Engineering student with hands-on experience in machine learning, deep learning, computer vision, robotics, and frontend development. Interested in AI/ML, software development, and robotics opportunities.

Experience

• 4th International Summer Training in Artificial Intelligence & Robotics
  Centre for Intelligent Robotics (CIR), IIIT Allahabad
  Jun 2026 – Aug 2026

  8-week hands-on training covering Classical Machine Learning, Deep Learning, Computer Vision, and Robotics. Worked on Diabetes Prediction using Classical ML and Cats vs Dogs Image Classification using CNN. Contributed to a team project on Healthcare Stroke Prediction using Machine Learning. Gained hands-on exposure to ROS (Robot Operating System) and participated in the AIRena.2026 Robotics Competition.

• Frontend Developer Intern
  Uptricks Services Pvt. Ltd.
  Dec 2025 – Feb 2026

  Developed and tested responsive web interfaces using HTML, CSS, and JavaScript. Collaborated with team members to maintain code quality and consistency. Used Git for version control and team collaboration.

Education

• 2028 II
  Bachelor of Technology

  Indian Institute of Information Technology Manipur

  Computer Science · 2024 – May 2028

  Computer Science · 2024 – May 2028

Skills

Tools / apps / platforms

Projects

• Cats vs Dogs Image Classification using CNN
  Deep Learning, Computer Vision, CNN

  Developed a CNN-based image classification project to distinguish between cats and dogs. Gained practical experience in Deep Learning and Computer Vision through image classification.

• Healthcare Stroke Prediction using Machine Learning
  Machine Learning, Pandas, NumPy, Scikit-learn

  Team project involving data preprocessing, categorical encoding, scaling, class-imbalance handling, and machine learning model comparison. Worked with threshold optimization and evaluated models using Precision, Recall, F1-score, and ROC-AUC.

• Diabetes Prediction using Machine Learning
  Machine Learning, Pandas, NumPy, Scikit-learn

  Built a classification pipeline involving data preprocessing, stratified train-test splitting, feature scaling, and multiple machine learning models. Evaluated models using Precision, Recall, F1-score, ROC-AUC, and confusion matrices.

🏆 Achievements & awards

• Smart India Hackathon 2024 – Participant · 2024
• ISRO Hackathon 2025 – Participant · 2025
• AIRena.2026 Robotics Competition – Participant · 2026
• LeetCode 50 Days Badge