01 · RECOMMENDER SYSTEMMACHINE LEARNING · STREAMLIT
Movie Recommender System
Content-based recommendation using TF-IDF / CountVectorizer, serialized models and an interactive Streamlit interface.
B.TECH INFORMATION TECHNOLOGY · 2028
I build practical software and machine-learning applications that turn data, models and ideas into useful products.
01 / ABOUT
I'm an Information Technology student at Dr. Mahalingam College of Engineering and Technology, building my foundation across software engineering, data science and machine learning.
I enjoy taking a problem from idea → data → model → application, with a strong focus on learning by building.

02 / SELECTED WORK
01 · RECOMMENDER SYSTEMMACHINE LEARNING · STREAMLIT
Content-based recommendation using TF-IDF / CountVectorizer, serialized models and an interactive Streamlit interface.
02 · NLPTEXT CLASSIFICATION
Binary NLP classification pipeline with model comparison and a simple application layer for message prediction.
03 · OCR + NLPOCR · NLP · HEALTH TECH
OCR-based medicine text extraction with NLP and a dosage-reminder assistant concept.
04 · RECIPE ASSISTANTRECIPE · INGREDIENTS · WEB APP
A practical cooking assistant that helps users discover recipes from ingredients they already have.
05 · HEALTH ACCESSHEALTH · ACCESS · ASSISTANT
A digital guide concept designed to make essential health information and local-care guidance easier to access.
03 / CAPABILITIES
04 / EXPERIENCE
Building end-to-end projects across recommendation systems, NLP, OCR and student-focused AI applications.
Focused practice in C, algorithms, SQL, DBMS, aptitude and interview-oriented problem solving.
Preparing for entry-level roles where software engineering and data-driven problem solving meet.

DATA IN PRACTICE
05 / CREDENTIALS
06 / APPROACH
Define the problem, user and measurable outcome.
Inspect data, research approaches and establish a baseline.
Develop small, testable components and iterate.
Evaluate results and handle edge cases.
07 / CONTACT
Open to internships, project collaborations, learning opportunities and conversations around ML, Data Science and software engineering.
amrithsaravanan.s@gmail.com ↗