Ranjitha S
@ranjithas
I build AI and machine learning solutions for computer vision, NLP, and data-driven applications.
What I'm looking for
I've built AI-driven applications spanning skin cancer detection, speech emotion recognition, and Android-based learning tools.
During the Mind Matrix Internship Program, I developed the Akshara Deepa Tutor Android application using Android Studio and Firebase, improving interactive learning accessibility for 100+ users. I implemented real-time database integration and Firebase authentication, improving application efficiency and data synchronization by 25%.
My skin cancer detection project used Python, TensorFlow, CNNs, and OpenCV to classify 5+ skin lesion types with 85%+ accuracy across 1,000+ medical images. I also built preprocessing and evaluation pipelines that improved model performance by 20%.
I'm passionate about applying AI, machine learning, and data analytics to solve real-world problems through reliable, measurable applications.
Experience
Work history, roles, and key accomplishments
Android App Development Intern
Mind Matrix Internship Program
Feb 2026 - May 2026 (3 months)
Developed the Akshara Deepa Tutor Android application using Android Studio and Firebase, improving interactive learning accessibility for 100+ users. Implemented real-time database integration and Firebase user authentication, improving application efficiency and data synchronization by 25%.
Education
Degrees, certifications, and relevant coursework
Sri Krishna Institute of Technology
Bachelor of Engineering, Artificial Intelligence & Machine Learning
2022 -
Grade: 8.23 CGPA
Pursuing a Bachelor of Engineering in Artificial Intelligence & Machine Learning with a CGPA of 8.23.
Sri Aurobindo PU College
Pre-University Course, PCMCs
2020 - 2022
Grade: 71.66%
Completed Pre-University Course in PCMCs with 71.66%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/H4cknFairyJob categories
Skills
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