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Hi πŸ‘‹, I'm Anirudh Santhosh

🐳 𝐀𝐧 𝐚𝐬𝐩𝐒𝐫𝐒𝐧𝐠 πƒπšπ­πš π’πœπ’πžπ§π­π’π¬π­ and Machine Learning Developer🐼


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πŸ‘¨β€πŸ’» Exploring the world of tech, I'm diving into Generative AI and NLP to craft cool solutions with data.

🌐 As a machine learning enthusiast, I love learning new tech and adapting to changes for my journey to become a Data Scientist.

πŸ“± With flexibility and a knack for learning, I'm navigating through the tech scene, soaking in new tools and methods along the way.

🦜 Thriving in team environments, I enjoy hackathons and projects where ideas flow and innovation happens.

πŸ“– Every line of code tells a story, and I'm on a mission to create tales of innovation and change.

😜 Quick tip: In tech, every bug is a chance to learn, and every challenge is an opportunity for growth!


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Tech Stacks

Programming Languages Java Python C++
Data Analytics PowerBI Numpy Pandas Plotly Kaggle
ML/DL Keras Matplotlib TensorFlow scikit-learn NumPy Pandas SciPy ChatGPT
Databases MySQL SQLite
Design Canva
Competetive coding Leetcode CodeChef HackerRank GeeksForGeeks
IDEs/Editors Visual Studio Code Sublime Text PyCharmJupyter Notebook Streamlit
Frontend HTML5 CSS3
Backend Flask

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Anirudh Santhosh's Projects

bending-excersise-guider icon bending-excersise-guider

This is an bending exercise guider which will guide if person has done the bending exercise correctly or not . If correct then it calculates the number of repetition performed.

braintumourdetection icon braintumourdetection

This project uses deep learning to detect brain tumors in medical images. The project is designed to classify whether a brain tumor is present or not. We built a model using convolutional layers, maxpooling, and dense layers, and also used the VGG16 pre-trained model for comparison.

competetive-programming- icon competetive-programming-

This is a repository where I will upload my all codes in Java (Leetcode , Hackerank , Codechef, Personal etc)

e-waste-management-using-transfer-learning icon e-waste-management-using-transfer-learning

This is a project on management of E-waste , for which machine learning is used. VGG16 is used here for transfer learning. The waste is first of all classified according to there types. At a later stage the waste is again classified in respective to the classified items.

face-recognition icon face-recognition

This is a face recognition system which is made using Haar cascade classifier. The facial features are detected using Haar cascade classifier and later the photos are captured using the Laptop camera and the dataset is prepared from that. VGG deep learning model was used to train the model. The trained model is later used to recognize the face.

handling-imbalanced-data-for-better-results icon handling-imbalanced-data-for-better-results

Handling the imbalanced dataset is very important as it can lead to difference in the prediction due to high availability of data of a particular class. The example is to demonstrate the process to deal with imbalanced dataset.

handwritten-digit-recognition icon handwritten-digit-recognition

This is a small self learning project in which Handwritten digits are recognized . The dataset used here is MNIST datatset . The model used here for recognition is a self made model by using different dense ,CNN ,relu etc layers.

knn-algorithm-implementation- icon knn-algorithm-implementation-

This is an implementation of KNN algorithm and an approach to determine the best value of K for a dataset based on the error rate

mini-alex icon mini-alex

This is a small replication of Alexa and a mini learning project which will recognize the Persons's voice and perform the things on command of the user. The model can recognize the voice and play the music commanded by the user . It can give current time , information about a particular thing and even tell joke.

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