Fake News Prediction
A machine learning model that detects and classifies fake news using natural language processing. It helps people spot misinformation.
$ python portfolio.py
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Third-year B.Tech Computer Science student from Kollam, Kerala. I build machine learning projects and software that solve real problems, usually with music playing.
class Developer: name = "Muhammed Salman" role = "CS Student" stack = ["Python", "ML", "NLP"] loves = ["AI", "Music", "Gym"] def build(self): return "real-world solutions"
Iβm passionate about artificial intelligence, machine learning and software development. I work in Python and use AI-assisted programming to move faster.
Outside code I follow market research and digital technologies, and I stay curious about cybersecurity. Iβm always learning and applying it to real-world problems.
A machine learning model that detects and classifies fake news using natural language processing. It helps people spot misinformation.
A predictive model that studies historical weather data and forecasts conditions, giving simple predictions based on trends.
A system that handles gym memberships, attendance and records, making admin work faster and more reliable.
HEAD β main Β· 2027Baselios Mathews II College of Engineering
2023Learning algorithms, machine learning and software development.
I love music and often perform at college events and gatherings.
Nature, landscapes and candid moments.
Training is part of my routine. The discipline from the gym carries over into how I study and build.
I read to learn new ideas and keep my mind sharp, both about tech and beyond it.
I look after my mind and body, because good habits and rest make me better at everything I do.
I follow new tools and ideas closely, and I enjoy turning them into things that work.
English and Malayalam fluent, Hindi basics.
AI, cybersecurity, software development and technology innovation.
Iβm a hardcore music listener. Itβs how I focus, how I unwind, and why I sing at college events. Press play for a small loop generated live in your browser.
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