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iamnih4l/README.md

AI & ML Enthusiast | Developer | Filmmaker ๐Ÿš€

Portfolio

๐Ÿ’ซ About Me:

Hi, I'm Mohammed Nihal! ๐Ÿ‘‹ I'm currently pursuing a B.Tech in Computer Science (AI & ML), passionate about building technology that solves real-world problems.

  • ๐Ÿค– My Focus: I love exploring the intersection of AI, startups, research, and creative technology. I'm very product-focusedโ€”I enjoy building things that can turn into real platforms or startups rather than just academic experiments.
  • ๐Ÿ’ก Technical Interests: Multi-agent AI systems, Reinforcement Learning, Autonomous systems, Applied AI research, and AI product development.
  • ๐ŸŽฌ Creative Side: Outside of engineering, I am deeply interested in storytelling and filmmaking. I've worked on multiple short films as a Lead Actor, Director, Scriptwriter, and DOP. These creative experiences influence how I approach user experience and product design!
  • ๐Ÿš€ What Drives Me: Building impactful systems that combine intelligence, creativity, and real-world utility. My long-term goal is to work on advanced AI systems and build innovative startups while continuing to explore creative storytelling.

Portfolio
Instagram LinkedIn X


๐Ÿš€ Featured Projects:

  • ๐Ÿฅ CouncilAI: A concept for a multi-model AI diagnostic system for medical imaging. It uses multiple AI models that act like a "council" to analyze medical images and provide reliable decisions by combining their outputs and reasoning before producing a final result.
  • ๐ŸŽ“ InternSwipe: A platform designed to help students discover internships in a more engaging way using a swipe-based interface. Matches opportunities based on skills and personality, while including training resources and gamified tasks.
  • ๐Ÿ’ฌ YeapperBot: An AI-powered conversational assistant designed for websites and applications to help businesses automate user interactions, provide instant information, and improve engagement with contextual understanding.
  • โฑ๏ธ Doomsday AI Clock: A project inspired by the global Doomsday Clock. Uses data analysis and AI-based simulation to estimate global risk levels based on geopolitical tension, technological risks, and instability indicators to visualize how close the world is to major global crises.

๐Ÿ’ป Tech Stack:

Languages


Frontend & UI


Backend & Databases


DevOps & Cloud


AI & Data


(Plus Pandas, NumPy, Scipy, Matplotlib, Plotly & Apache Spark)


Creative & Tools


๐Ÿ“‰ GitHub Highlights


Top Programming Languages
My Skills


Current Streak
GitHub Streak

๐ŸŽฎ Fun Stuff & Status:

Current Mood & Track


Am I Dreaming
Metro Boomin & A$AP Rocky
Progress Bar


Developer Achievements


My Partner in Crime

Rotom (Electric/Ghost)



๐Ÿ Contribution Snake

Snake animation

โœ๏ธ Random Dev Quote


Pinned Loading

  1. Argus Argus Public

    Argus is an offline, deterministic Evidence Correlation Engine. It ingests your raw evidence, extracts critical entities (Phones, Emails, Dates, Locations, Invoices), normalizes them, and automaticโ€ฆ

    TypeScript

  2. Deluge Deluge Public

    Deluge is a real-time flood response platform that continuously updates evacuation routes and safe zones using an in-memory road graph, enabling emergency teams to make faster, safer decisions undeโ€ฆ

    TypeScript 1

  3. Gaia Gaia Public

    Gaia is architected to deliver immediate, concrete value across four key pillars of the climate research and policy ecosystem.

    Python 1

  4. Nyx Nyx Public

    The system turns unusual observations into traceable candidates that can be investigated through their underlying physics, model behaviour, uncertainty, background comparisons, and existing scientiโ€ฆ

    Python 1

  5. NeuroFLY NeuroFLY Public

    NeuroFly combines real *Drosophila melanogaster* male CNS connectome data with a computational spiking neural model and real-world media inputs to explore how different stimuli produce different moโ€ฆ

    Python 2

  6. Spacecraft-Anomaly-Detection Spacecraft-Anomaly-Detection Public

    3D spacecraft simulation showing how neural networks lose (and recover) the ability to detect anomalies over long missions. Built with PyTorch, Three.js, and NASA telemetry data.

    Python