AADHITYAA INFOMEDIA SOLUTIONS PVT. LTD (AADHITYAA) is the pioneer company offering Application Projects in Chennai for all final year students across India. Aadhityaa brings more relationship with personalized, responsive real time between students and companies.

Samples of Application Projects are as follows

This is Application Project. In the Existing System, users query request is Handled and resultant URLs are provided based on the user’s hits into a URL. The searching process happens based on the Exact keyword matched in the metatag in the Corresponding URLs. In the Proposed System, we’re organizing the user’s search history by categorizing the keywords, synonyms or same meaning words into same category and also we monitor, user’s selection of the URLs for the corresponding queries. We segregate the same pattern of queries from different users and compare the entire selection URLs. This process helps to Re-Rank the most often selected URLs by different user’s to a new users who googles the same queries. The Modification we propose in this Application Project is getting the feedback from the users about the corresponding URLs which helps to Re-Rank resultant URLs in a more perfect manner. We Calculate the Positive feedback ratio to judge real best URL at the top of the site.

ALGORITHM / METHODOLOGY: Online Clustering, Page Ranking

DOMAIN: Application, Data Mining

This is Application Project. In the Existing System, Internet Provides lot of Irrelevant / Useless / False Information’s for the Disease Related Searches, which is more harmful. In the Proposed System the Machine Learning Technique is introduced. This process Extracts the Information from the Published Medical Papers for the Queries given by the User. Classifiers are used to Identify Symptoms, Cure, Treatment and Side effects of any Disease and for its Treatment. This Project Extracts Truth and Trust over Medical Field. Modification we propose in this Application Project is the Ranking of Keywords present in a Medical Journals. The Ranking is achieved by calculating Term Frequency (No. of Occurrence) of User Searched Term with the Total Number of Filtered Key Words using Stemming, Ranking Algorithms.

DOMAIN: Application, Data Mining