  Human disease diagnosis is a complicated process and requires high level of
expertise. Any attempt of developing a web-based expert system dealing with
human disease diagnosis has to overcome various difficulties. This paper
describes a project work aiming to develop a web-based fuzzy expert system for
diagnosing human diseases. Now a days fuzzy systems are being used successfully
in an increasing number of application areas; they use linguistic rules to
describe systems. This research project focuses on the research and development
of a web-based clinical tool designed to improve the quality of the exchange of
health information between health care professionals and patients.
Practitioners can also use this web-based tool to corroborate diagnosis. The
proposed system is experimented on various scenarios in order to evaluate it's
performance. In all the cases, proposed system exhibits satisfactory results.

Artificial Intelligence