Madhava Brightly portfolio background
Information Technology · AI / ML · FinTech

Madhava
Brightly

I build AI systems

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01

About me

Motivated IT student interested in software development, AI/ML, and fintech systems.

I enjoy solving real problems, building working products, and collaborating with people who care about the outcome. I am continuously growing my technical and professional skills to contribute to impactful, scalable solutions.

Based inPudukkottai, India
DegreeB.E. Information Technology
FocusAI · FinTech · Web
LanguagesEnglish · Tamil · Latin (Beginner)
ModelScope AI Training Credit

brightly077 / brightly077@modelscope.local received 300 hours from AMD China to train AI models using AMD GPU resources.

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Capabilities

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Development

Python, JavaScript, web application development, and practical software architecture.

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AI / ML

YOLO, deep learning, computer vision, and real-time emotion recognition systems.

03

FinTech

Synthetic market simulations, trading logic, algorithmic strategies, and risk controls.

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Tools & Design

Linux administration, Figma UI/UX design, problem solving, and algorithms.

PYTHONJAVASCRIPTAI / MLYOLODEEP LEARNINGLINUXFIGMAALGORITHMS
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Selected projects

01 / 05
Python · Windows

StudioScreenRecorder

A Windows desktop screen recorder built with Python, customtkinter, FFmpeg, SoundCard, NumPy, and SciPy. It records smooth 60 FPS desktop video, mixes system loopback and microphone audio, reconnects when audio devices change, and finalizes recoverable MP4 recordings.

PythonFFmpegAudio CapturePyPI
02 / 05
2025 — Now

Synthetic Market

A risk-free trading simulation with realistic market dynamics, advanced order execution, and a hybrid rule-based and algorithmic trading bot. Includes a 40% target-profit model and a 20% automated stop-loss / auto-close mechanism.

FinTechAlgorithmsWeb App
03 / 05
PyTorch · Flask

Plant Disease Classification

A plant-leaf disease classifier trained on the PlantVillage dataset with EfficientNet-B0. The Flask app predicts 38 crop and disease categories, reports calibrated confidence, and uses Grad-CAM attention regions to explain which parts of the image influenced the result.

PyTorchEfficientNetFlaskGrad-CAM
04 / 05
2024

Facial Emotion Recognition Using AI

An AI-based computer vision system that detects and classifies human emotions from facial expressions, enabling accurate real-time analysis with deep learning techniques.

AI / MLComputer VisionDeep Learning
05 / 05
2023

Secure College Login Web App

A secure college web application designed and developed with student authentication features and a clear, accessible login experience.

Web AppAuthenticationUI / UX
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Education

B.E. Information
Technology

Annamalai University

2022

2026
05

Have a project or opportunity?

Let's build something
meaningful.

brightlyt@outlook.com