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iamjr15

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Hi, I'm Jigyansu Rout, a web and app developer, with a love for greatly designed products. I take great care in the experience, architecture, and code quality of the things I build, along with a deep obsession with elegant interfaces.

data doesn't lie

  • πŸ”­ I’m currently working on a ton of side projects and a startup maybe :P
  • 🌱 I’m currently learning Machine Learning, Data Science and Blockchain stuff!
  • πŸ’¬ Talk to me about football, crypto/stocks, great design, new products and moonshot projects
  • πŸ“« How to reach me: if you have an idea or think we can collaborate on something, drop me a text through any of the mediums below!

🀝Let's connect !

Jigyansu's Instagram Jigyansu Rout | Twitter Jigyansu's LinkedIN Jigyansu's e-mail Jigyansu's Website

🧰 Languages and Tools

android aws bootstrap cplusplus css3 dart figma firebase flask flutter gatsby gcp git html5 java javascript kotlin linux mongodb nodejs postman python react tailwind xd

πŸ“Š GitHub Stats

iamjr15

πŸ’» Profile Stats
Jigyansu's Github Stats Jigyansu's Top Languages

Note: Top languages is only a metric of the languages my public code consists of and doesn't reflect experience or skill level.

⚑ My Contribution Graph
Jigyansu's Activity Graph

Jigyansu Rout's Projects

bank-loan-approval-prediction icon bank-loan-approval-prediction

Models bank loan applications to classify and predict approval decisions using customer demographic, financial, and loan data. Applies machine learning algorithms like logistic regression and random forest for enhanced automation.

chatbot_tflearn icon chatbot_tflearn

This is a chat bot, and it has a intents.json, which consists of the training data.

ensemble-ai-text-detection icon ensemble-ai-text-detection

This project detects AI-generated text using an ensemble of classifiers: Multinomial Naive Bayes, Logistic Regression, LightGBM, and CatBoost. It includes robust data preprocessing, model development, and evaluation, ensuring accurate identification of AI-generated content from a diverse text dataset.

facenet-recognition-pytorch icon facenet-recognition-pytorch

Face recognition using Facenet, SVM, MTCNN and PyTorch. Face detection, feature extraction and training for custom datasets.

jos icon jos

PKU OS Practice/mit 6.828 JOS labs

makemyday icon makemyday

MakeMyDay is a general utility multipurpose application for Android. It was built using App Inventor for my entry for Google Code to Learn 2017.

ml-heart-and-kidney-disease-prediction icon ml-heart-and-kidney-disease-prediction

This machine learning project focused on predicting chronic kidney disease and heart issues by training and evaluating classification models including SVM, Logistic Regression on medical datasets. The models were assessed using accuracy, precision/recall metrics to determine the best approach, along with analysis of performance factors.

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