I am Anilkumar Borige a computer science undergraduate from Hyderabad, Telangana, India. A Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems. I enjoy problem-solving and coding. Always strive to bring 100% to the work I do.

Find my resume here

- Interested in coding related stuff

- Open to new ideas

- Swimming

- Sleeping

- Deep Learning

- Natural Language Processing

- Internship opputurtunity

- Full time placement

Programming Languages

DataScience

Web Development

Machine Learning

Natural Language Processing

Database Management | Frameworks

Deep Learning

Delivering Domain-specific YouTube video recommendations for first-time viewers through sentiment analysis on comments using an ensemble of multiple models. The system also includes spam filtering, multilingual and transliterated text support on comments and video ranking based on normalized scores, Primarily catering to first-time viewers.

Stack: NLP|LSTM|Python|YouTube Data API|Data Science

A Machine Learning-based system for disease prediction and personalized medicine recommendations. This comprehensive platform includes disease descriptions, precautionary measures, and integrated geolocation services to identify nearby hospitals for enhanced accessibility and healthcare support.

Stack: ML|Flask|Python|HTML|CSS|JS|AJAX|Data Science

The predictive model will analyze adolescents social media activity, school performance data, and anonymous health records to detect early signs of mental health issues using sentiment analysis, data patterns, and machine learning techniques. It will identify red flags such as emotional tone shifts, academic declines, and health history patterns to predict potential mental health concerns.

Stack: ML|DL|Python|NLP|Data Analysis

An all-in-one Camera Application designed for versatile use on any device. This application allows users to capture photos and videos seamlessly, featuring a temporary gallery option with the ability to delete or download content. Additionally, it offers a one-time-use functionality, making it suitable for various appliances.

Stack: HTML|CSS|JS

Users can add individual expenses, specify who participated in each expense, and see how much each person owes. The app calculates the total expenses for each user and provides detailed breakdowns of each expense.This project aims to simplify group expense management without needing a backend database, making it a convenient, one-time use application for various social scenarios.

Stack: React js, HTML, CSS, JS