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saqeeb360's Projects

automated-system-for-solving-captchas icon automated-system-for-solving-captchas

Developed a computer program to automatically solve traditional CAPTCHA challenges by identifying characters in obfuscated images using image processing and machine learning.

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

cs661-rainfall-and-temperature-data-analysis-visualization icon cs661-rainfall-and-temperature-data-analysis-visualization

Utilized Python and Plotly Dash for visualizing historical rainfall and temperature data (1901-2002) for India. Created interactive visualization with zoomable state-to-district views, unveiling trends and correlations in rainfall and temperature patterns. Utilized heatmap and Choropleth graphs to illustrate weather trends and regional comparisons.

escaping-the-caves icon escaping-the-caves

Deciphered several encryption algorithms like Vigenere, Substitution-Permutation, 6-round DES, EAEAE, RSA

essay-grading-system icon essay-grading-system

This is automatic essay grading system made using ML, NLP, Semantic Analysis, Flask, Heroku

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

learning-linear-models-for-xor-puf icon learning-linear-models-for-xor-puf

Developed a linear model for a XOR-PUF system. Here the XOR-PUF consists of three PUFs, each with eight multiplexers, and takes an 8-bit challenge as input. The goal is to create a new feature vector from the challenge and use a linear model using gradient descent to predict the PUF's response very accurately.

morphological-analysis-of-hindi-language icon morphological-analysis-of-hindi-language

In this project I created a sequential neural network to find the gender, case and number of words in Hindi. And also used Viterbi Algorithm to find the POS tags of words in a sentence in Hindi.

predicting-error-types-in-code-with-token-based-machine-learning icon predicting-error-types-in-code-with-token-based-machine-learning

Automated Program Repair using One-vs-All Logistic Regression: A machine learning approach for error classification in code. BoW representations and one-vs-all logistic regression enable suggesting repairs to students' code, easing the teaching process and enhancing the learning experience.

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

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