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Coding
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wasim-builds/README.md

💫 About Me:

:


🔭 I'm currently working on: My Integrated M-Tech in Software Engineering and building innovative web applications.





👯 I'm looking to collaborate on: Full-stack development or AI/ML projects , especially those using Python, Flask, or React.



🤝 I'm looking for help with: Connecting with other developers and exploring opportunities in Data Analysis or Full-Stack Development.


🌱 I'm currently learning: To deepen my skills in cloud technologies like AWS and AI frameworks like TensorFlow.

🌐 Socials:

LinkedIn email

💻 Tech Stack:

C C++ CSS3 HTML5 Java JavaScript Python PHP AWS Google Cloud Azure Oracle Firebase Anaconda .Net Next JS NodeJS Flask React WordPress FastAPI Express.js Firebase MongoDB MySQL Adobe Canva Figma Matplotlib NumPy Pandas scikit-learn TensorFlow GitLab CI Git GitHub GitLab Testing-Library Meta Arduino Raspberry Pi

📊 GitHub Stats:




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  1. Data-Structures-using-java Data-Structures-using-java Public

    This repository contains Java implementations of fundamental Data Structures and Algorithms (DSA). It is designed to help developers and students understand and apply key concepts efficiently. 🔹 Fe…

    Java 3

  2. Iris-Classification-using-Gaussian-Na-ve-Bayes Iris-Classification-using-Gaussian-Na-ve-Bayes Public

    This project implements a Gaussian Naïve Bayes classifier on the Iris dataset using scikit-learn. It achieves high accuracy in classifying iris species based on petal and sepal measurements.Evaluat…

    Jupyter Notebook 3

  3. Machine-Learning-using-Python Machine-Learning-using-Python Public

    checking accuracy of each model in machine learning using different data sets

    Jupyter Notebook 3

  4. Spam-Email-Detection-Using-machine-learning Spam-Email-Detection-Using-machine-learning Public

    This project aims to classify emails as spam or ham (not spam) using machine learning techniques. We use Natural Language Processing (NLP) and Supervised Learning to build an efficient classifier.

    Jupyter Notebook 4

  5. Text-Based-Emotion-Classifier-Using-Machine-Learning Text-Based-Emotion-Classifier-Using-Machine-Learning Public

    Research and implementation of text classification techniques for Indian languages using Naive Bayes, SVM, ANN, and N-gram models. Focused on handling linguistic challenges and improving retrieval …

    Jupyter Notebook 3

  6. File_Encryption-And-Decryption File_Encryption-And-Decryption Public

    A robust cryptographic tool developed in Go (1.24+) that solves the memory limitation of standard file encryption. It implements a custom chunking architecture (64KB blocks) with AES-GCM and increm…

    Go 3