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Ranjitha SRS
Open to opportunities

Ranjitha S

@ranjithas

I build AI and machine learning solutions for computer vision, NLP, and data-driven applications.

India
Message

What I'm looking for

I'm looking to apply AI, machine learning, computer vision, NLP, and data analytics to real-world problems while growing through hands-on projects, cloud technologies, and collaborative industry workflows.

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

MP

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

ST

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.

SC

Sri Aurobindo PU College

Pre-University Course, PCMCs

2020 - 2022

Grade: 71.66%

Completed Pre-University Course in PCMCs with 71.66%.

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