About Hippocrates AI

Intelligent Care.
Human First.

Hippocrates was founded on a simple yet ambitious premise: artificial intelligence can transform healthcare not by attempting to replace human clinicians, but by empowering patients with clarity and supporting doctors with intelligent clinical synthesis.

Our Mission

Making clinical intelligence accessible and safe.

Too often, patients leave consultations with unanswered questions, and doctors are burdened by mountains of documentation and high cognitive fatigue. Hippocrates provides a dual-engine architecture (Aegis for patients, Oracle for doctors) designed for compassionate care and clinical rigor.

Core Principles

1

Patient-First Safety

Always transparent about AI limitations, encouraging in-person consultations when appropriate.

2

Clinical Rigor

Built with multi-model intelligence that helps doctors evaluate differentials and lab findings rapidly.

3

Absolute Privacy

Encrypted records and strict data stewardship protecting sensitive health conversations.

NCSC Research Team

Meet the Team

The researchers and developers behind HIPPOCRATES and our effort to make health information more accessible.

Tawhidur Rahman Laskar — Founder of HIPPOCRATES
Founder

Tawhidur Rahman Laskar

Architecture & System Lead

Conceptualized and led the development of HIPPOCRATES, architecting its dual-engine clinical AI models and patient-facing conversational experience.

Ahmed Al-Ferdous — Co-Founder of HIPPOCRATES
Co-Founder

Ahmed Al-Ferdous

Research & Interface Co-Developer

Co-developed the research framework, collaborating on clinical interface design, patient safety validation, and systematic testing.

Abdul Basith Barbhuiya — Project Guide for HIPPOCRATES
Project Guide

Abdul Basith Barbhuiya

Academic Mentorship & Guidance

Provided academic mentorship, methodological guidance, and continuous review throughout the development and scientific evaluation of the project.

National Children's Science Congress (NCSC)

Scientific Study

HIPPOCRATES is developed as a student-led scientific investigation for the National Children's Science Congress, focusing on AI-assisted accessible health awareness, safe triage convergence, and doctor-patient collaborative tools.