/Loanalytic

This Repo is created as a part of GDP project

Primary LanguageHTML

Loanalytic

Description :

The purpose of Loanalytic-Web is to make the life of the borrower easy by simply registering to an online portal and get a loan approval. The application deals with 3 kinds of loans: Mortgage, Personal and Education loan. The user can quickly choose the kind of loan he wants and the amount he wants to borrow. Loan request would be validated by the application automatically as soon as the user answers few questions based on the kind of loan. The feasibility of loan approval would be displayed immediately. If the criteria is not met the user would be notified immediately else a background check is performed by the admin and a manual notification is sent by the admin. The application gives an opportunity to the admin to verify the user by validating the documents he has uploaded and doing some criminal/background check. Above all, we hope to provide a comfortable user experience along with the best pricing available.

Team Members:

Team Members Names Roles Email Address Phone Numbers
Vamsee Krishna Gangapatnam Project Manager S533908@nwmissouri.edu +16605281049
Gangadhar Adusumalli Senior Architect S533704@nwmissouri.edu +16605280325
Keerthi Sree Kukunoor Software Engineer S533570@nwmissouri.edu +12159617144
Gouthami Pasham Team Lead S533491@nwmissouri.edu +12032158224
Taraka Raviteja Peddi Software Trainee S533904@nwmissouri.edu +16608530466
Himabindu Poshala Software Engineer S533727@nwmissouri.edu +14694121091
Meghana Putta Software Engineer S533909@nwmissouri.edu +14243979577

Loanalytic ER Diagram :

The major features of Loanalytic database system as shown in the below diagram.

The above figure gives a complete description of all the entities used in the application. The description of each entity and the relation between them is specified below:

User:

The user entity has all the attributes to store the information related to the user. It stores the information provided by the user during the registration phase.

Admin:

The admin entity stores the details related to the employees working for the application. The attributes include the employee id, first name, last name, email and designation.

Document:

Document entity stores the required documents uploaded by the user and later the admin can view these documents.

Applications:

Application table has all the information related to the application. ##Loan Type: Loan type is a master table, it has all the in information related to loans. Admin can introduce new loans into the system through the interface.

Credit Score:

Credit score is a master entity, it stores the basic information of Credit score and the range associated with it.

SSN:

Social security number is the mandatory for the loanalytic.

Address proof:

Address proof is must should for the user to verify his/her existence in same country.

Contact us:

User can mail his query to supp.lonaltyics@gmail.com

Feedback page:

User can give feedback to the after completing the loan. User can rate his/her over all.