Applied Intelligence Systems

A focused project space for forensic, medical, and applied machine learning work, built around practical detection pipelines, decision support workflows, and domain-specific model experiments.

Forensic Track Detection systems for fake media, manipulated content, identity checks, and fraud screening.

Medical Track Clinical prediction, imaging support, patient monitoring, and triage-oriented intelligence tools.

Applied ML Track Broader ML work for sports prediction, gesture systems, plant intelligence, and stock forecasting.

Current Structure

Three domains. Cleaner navigation. Better project grouping.

This page is organized into forensic, medical, and applied machine learning tracks so every project sits inside a clearer and more realistic category.

Domain-first navigationOpen a domain first, then go deeper into the relevant project cards for that area.

Realistic presentationInstead of random counters, the layout emphasizes use case, problem space, and project grouping.

Built to growMore cards, case studies, demos, or separate pages can be added without changing the layout direction.

Project Categories

Choose A Domain

Forensic Projects

Open a domain to view all related project cards.

How This Project Space Is Structured

This interface is designed like a domain hub instead of a generic portfolio. The purpose is to make your work look more practical and organized: first choose the field, then open the list of relevant systems, then later attach each card to a model demo, report, dataset, or GitHub repository.

Select a domainThe landing view keeps the choice simple with forensic, medical, and applied ML as the top-level paths.

Explore project cardsEach domain opens its own project list so the page stays clean and every card belongs to a meaningful category.

Expand into real outputsEach card can later connect to a demo page, case study, results dashboard, PDF report, or deployment link.

Recommended Next Additions

If you want this to feel even more production-ready, the next step is to attach evidence of work instead of only card names.

Project detail pages Add one page per card with problem statement, tools used, screenshots, results, and future scope.

Model output previews Show example predictions, confusion matrices, sample uploads, or report summaries inside each project.

Deployment links Connect the main buttons to Streamlit, Flask, React, or notebook-based demonstrations.

Inside This Domain

Each domain can hold multiple specialized projects with different goals, models, and result formats.

Detection Layer Core systems for identifying anomalies, fraud, or medically relevant patterns.

Model Layer ML and DL approaches selected according to signal type, data quality, and prediction goals.

Output Layer Each project can expose a score, classification, explanation, report, or triage recommendation.