--- title: README emoji: 🐠 colorFrom: purple colorTo: indigo sdk: static pinned: false --- # TankDev **TankDev is a software and AI engineering company based in Türkiye, building custom software systems, applied AI solutions, process automation, and system integrations.** We design software around real operational workflows — from data models and business rules to APIs, integrations, automation, and production deployment. ## Engineering Areas - **Custom Software Development** — Business-specific software systems built around operational requirements and workflows. - **Applied Artificial Intelligence** — AI models and AI-assisted systems for classification, analysis, computer vision, and decision support. - **Process Automation** — Traceable workflows that automate repetitive operational tasks and system actions. - **System Integration** — Reliable data exchange between ERP, CRM, accounting, web applications, APIs, and other business systems. - **Web & Backend Engineering** — Production-oriented applications, APIs, databases, authentication, background jobs, and integrations. - **Software Modernization** — Migration of legacy applications and fragmented workflows into maintainable software architectures. ## Research & Engineering Projects ### DeepCancer DeepCancer is TankDev's research project exploring artificial intelligence for histopathology image analysis. The current research prototype investigates breast cancer histopathology using hybrid deep-learning architectures and explainability techniques such as Grad-CAM. DeepCancer is intended for research and education and is **not a clinical diagnostic tool**. [![Try DeepCancer Demo](https://img.shields.io/badge/🚀_Live_Demo-deepcancer.org-0052CC?style=for-the-badge)](https://deepcancer.org) ### Autonomous AI Video Studio An automated production system that connects research, AI-assisted content generation, media production, validation, and publishing into a controlled workflow. ### AI Automation Reliability TankDev also researches reliability in multi-step AI and LLM workflows, including failure propagation, retries, validation, observability, and measurable end-to-end reliability. ## Engineering Principles We focus on systems that remain understandable and recoverable when something goes wrong. Our engineering work emphasizes: - explicit data ownership - API contracts - idempotency and safe retries - traceable workflows - validation and acceptance criteria - observability - failure recovery - measurable AI performance - maintainable system architecture ## Technologies Our engineering work commonly involves: `Python` · `FastAPI` · `PostgreSQL` · `Next.js` · `TypeScript` · `Docker` · `Linux` · `Machine Learning` · `Computer Vision` · `LLM APIs` Technology selection depends on the requirements and constraints of each system. ## TankDev on the Web **Website:** https://tankdev.tech/en **Engineering Blog:** https://tankdev.tech/en/blog **Systems & Research:** https://tankdev.tech/en/systems **About TankDev:** https://tankdev.tech/en/about **Contact:** https://tankdev.tech/en/contact --- **TankDev — Software & AI Engineering** Custom Software · Applied AI · Process Automation · System Integration