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followers: 5.0 following: 16.0 repos: 40.0 gists: 0.0

Name: Santhosh Kumar S

Type: User

Bio: Diligent CS student with a diverse skill set, experienced in App and Web Dev, Passionate about AI and ML, eager to tackle challenges and innovate in technology.

Location: Chennai

Heyy there, I'm Sandy

This is the place where I Dump my Codes🗿

🔭 I’m currently working on Machine Learning
🌱 I’m currently learning Data science, Machine Learning, Deep Learning
💬 Ask me about anything related to Python/Java/C++ or Django/Flutter/Mysql
📄 Know about my experiences Click for Resume
😜 When I'm not coding, you can find me binge-watching movies or diving into the latest anime series.

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🧑‍💻 Software Stack:

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🎵 Are we Jamming to the same beats??

Santhosh Kumar S's Projects

biobert

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

I developed a Todo-App using Flutter for the user interface and Firebase Firestore for data storage. Emphasizing simplicity and functionality, this project served as a practice app for mastering Flutter's cross-platform capabilities. Through this experience, I demonstrated a commitment to efficient task management solutions.

calypso-simulator

colab_works

dashboard_website_internship

At Armsoftech, I crafted a dynamic Django-based dashboard for client access during my internship. It includes seamless PowerBI integration for advanced data analytics.

deep-reinforcement-learning

django-forum

Forum web application made with Django including admin + channel-owner moderation, pins, favorites, and more

django_mapper

dnt

TASK1: DN_LOGO_task1.py ---##----TASK2: task2.py

edith

flutter-basics

Flutter basics

flutter-feed-app-reference

Social feed application in the flutter

flutterflow-ui

gazebo_models

hector-quadrotor-noetic

Hector Quadrotor ported to ROS Noetic with Gazebo 11

liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

med-bert

Med-BERT, contextualized embedding model for structured EHR data

micro-project-arduino

mm-moodmusic-

movielist

ncps

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

nus_project_speakrite

SpeakRite is an ASR-driven project focused on improving English communication skills. It utilizes Whisper for accurate speech-to-text transcription and Gpt-3.5 for error correction. Integration of GTTS allows for text-to-speech conversion, enabling real-time feedback. SpeakRite empowers users to enhance pronunciation and fluency effectively.