I am A Bhagya Charan, a Computer Science undergraduate from Hyderabad, India. A Self-driven, passionate tech enthusiast focused on building practical solutions and exploring new technologies. I thrive on turning ideas into real-world applications while constantly learning and growing. My drive to create meaningful projects is matched by my dedication to staying current with emerging tech trends. I enjoy problem-solving and coding. Always strive to bring 100% to the work I do. Waiting for AGI to take the world by storm.

- Learn new Tech / Frameworks

- Develop DL Models & Apps

- F1 Enthusiast

- PC Geek

- Anime

- Work in MAANG

- Build my own SaaS

- Get Ready for AGI

- Build a Finance Portfolio

- Travel the World

Programming Languages

Data Science

Machine Learning

Deep Learning

Web Development

Natural Language Processing

Frameworks

Databases

This Django-based app helps users identify food items, provides calorie and macronutrient details, and estimates burn times for various activities, using image classification and large language model integration.

Stack: Python | Lang-Chain | Django | Tensorflow | HTML | CSS | JS

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: Python | Flask | ML | HTML | CSS | JS | AJAX

This project implements a Vision Transformer (ViT) from scratch, inspired by the original ViT paper, to classify between daisies and dandelions. Unlike traditional Convolutional Neural Networks (CNNs), which rely on localized receptive fields, the Vision Transformer leverages self-attention mechanisms, allowing it to capture long-range dependencies in the image.

Stack: Python | PyTorch | ViT | Numpy | Matplotlib

A robust note-taking app built with React for the frontend and Django for the backend. It features secure user authentication (registration and login) and allows users to create and delete notes. All data is efficiently managed using a PostgreSQL database.

Stack: Python | Django | React | PostgreSQL | HTML | CSS

Developed an advanced image upscaling application using SRGAN (Super-Resolution Generative Adversarial Network) capable of transforming low-resolution images into high-resolution versions with enhanced detail and quality. The application leverages deep learning to deliver sharp, realistic image outputs suitable for various use cases.

Stack: Python | Tensorflow | OpenCV | PIL | Numpy

This project uses a Caffe pre-trained model [colorization_deploy_v2.prototxt and colorization_release_v2.caffemodel] to colorize black and white images, using OpenCV.

Stack: Python | OpenCV | Numpy | Caffe