Md. Mehadi Hassan
AI/ML Engineer | Computer Vision & Deep Learning | Generative AI (RAG, LangChain) | Python
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About
Md. Mehadi Hassan works in AI engineering, AI automation & agents and ML & data science, based in Dhaka, Bangladesh. AI/ML Engineer | Computer Vision & Deep Learning | Generative AI (RAG, LangChain) | Python. Public projects on GitHub include FSDS-with-GenAI (This Repository has been created for all assignments and practices of the FSDS with GenAI Bootcamp Course), Insurance-Charges-Prediction (A machine learning project that predicts insurance charges using linear regression, with data preprocessing,…) and Personal-Voice-Assistant-System (A Python-based intelligent voice assistant that listens to your commands, processes them using Google's…), mostly written in Jupyter and Python.
Projects 6
FSDS-with-GenAI
This Repository has been created for all assignments and practices of the FSDS with GenAI Bootcamp Course.
github.comInsurance-Charges-Prediction
A machine learning project that predicts insurance charges using linear regression, with data preprocessing, feature analysis, and model evaluation.
github.comPersonal-Voice-Assistant-System
A Python-based intelligent voice assistant that listens to your commands, processes them using Google's Generative AI, and responds with synthesized speech. Features speech recognition, web automation, Wikipedia search, music playback, and smart AI conversations.
github.comLead-Form-Automation-n8n
An n8n-based lead form automation workflow that collects new client leads, classifies them by budget, and sends labeled email notifications using Gmail.
github.comLoan-Approval-Prediction
Loan Approval Prediction using Machine Learning: EDA, feature engineering, multiple models (Logistic Regression, Random Forest, KNN, Gradient Boosting), and Bayesian inference for probabilistic reasoning. Includes visualizations and performance metrics.
github.comTitanic-Survival-Prediction
A complete machine learning project on the Titanic dataset, including data cleaning, manual exploratory data analysis (EDA), feature engineering, and predictive modeling to classify passenger survival.
github.com