This document describes a student college mapping project that formulates the mapping as a stable marriage problem and solves it using a modified deferred acceptance algorithm. It involves generating automatic college preference lists for students using a fuzzy control system that considers factors like education quality, placements, fees, location, and ranks colleges to produce each student's list. The project aims to match students to colleges in a single round to save time and money compared to traditional admission processes.

1. STUDENT COLLEGE MAPPER
Formulating student college mapping as a stable marriage problem and
solving it using the modified version of differed acceptance algorithm.

2. A Project by:
 Niranjan Ingale 2014BCS022
(ingaleniranjan365@gmail.com, +91-8983616877)
 Saurabh Melge 2014BCS024
(melage.sourabh97@gmail.com, +91-8446840033)
 Yash Bele 2014BCS008
(yashbele@gmail.com, +91-9175120624)
Of Third year B.TECH Computer Science and
Engineering under the guidance of
Mr. A. R. Surve
during the 1st
semester of the academic year 2016-17.

3.  TECHNICAL AREAS EXPLORED:
1. WEB TECHNOLOGIES
2. DATABASE MANAGEMENT SYSTEMS
3. FUZZY SYSTEMS
 APPLICATION DOMAIN:
SEAT ALLOCATION BOARD
 APPLICATION USER:
STUDENTS who are interested in taking admissions.
 BENEFIT OF THE PROJECT:
STUDENTS and BOARDS will get rid of unwanted procedure
i.e. the process will be completed in one round, so the TIME and
MONEY will be saved to a larger extent.
 ASSUMPTIONS:
STUDENTS have to fill their PARAMETER preferences
compulsorily.
 ABSTRACT:
To match students to colleges using a matching algorithm and
the algorithm takes preference lists as input i.e. to match
students to colleges, student need to list out the colleges they
want in a preference order. The example of the preference list is
as follows:
1. VJTI, Mumbai(CSE)
2. COEP, Pune(Mech)
3. COEP, Pune(CSE)
4. WCE, Sangli(CSE)
…..and so on.

4. In order to produce the most desirable output, the list should be
of maximum size i.e. every student should fill out as many
colleges as possible. The student will definitely get the best
possible institute in his list. Considering the scenario of
Maharashtra, state has 799 Engineering colleges, assuming each
college has 5 branches, the student should fill out 799*5=3995
preferences and it is not possible for a student to fill out 3995
preferences. So, here comes into view ‘The automatic
preference list Generator’. The work of the generator is to
automatically create the preference list and appending it after
the preferences given by the student. For the generation of
preference list, ‘Fuzzy control system’ is used.
A Fuzzy control system is a control system based on fuzzy logic
– a mathematical system that analyses analog input values in
terms of logical variables that take on continuous values
between 0 and 1, in contrast to classical or digital logic, which
operates on discrete values of either 1 or 0. For taking admission
to any institute, certain parameters are considered which are as
follows:
1. Quality of Education
2. Placements
3. Fees
4. Infrastructure and Resources
5. Geographical location
6. Academic performance of college in university exams
7. Alumni records
…..and so on.
The preference list is generated considering the above factors
and ranging it on a certain scale. Quantitative evaluation of college
will be done by the authorities thereby assigning a score out of 100
for the above parameters. For example, consider a college and the
parameter values are as follows:

5. 1. Quality of Education : 80/100
2. Placements : 80/100
3. Fees : 95/100
4. Geographical location : 100/100
…and so on.
The above scores will be taken into consideration to generate the
preference list. An example is set up by ‘National Institutional
Ranking Framework’ which is a central governmental organization
that does the evaluation of colleges. These kind of evaluations are
necessary to be done to keep the track of performance of colleges in
its jurisdiction.
The above parameter values will be given to the Fuzzy control system
as an input and result will be generated in the form of score to
generate the ranking of colleges for a particular student i.e. the
colleges ranking will be different for different students. Considering
the current scenario of admission procedure, the system works on
approximation from the student side i.e. referring to various cut-off
lists of colleges. The system which is stated above will be very
helpful to the student living in remote areas having lack of knowledge
about this domain. So, the new system should be introduced.
Introducing this new system will be a big revolution in the 20th
century thereby improving and empowering the whole system to
reach new pinnacle. The new system will complete its execution in
one go i.e. only one round is required.
 OBJECTIVES:
 To study different types of web technologies.

6.  To study the different types of graphs used for mapping.
 To achieve higher order performance using the fuzzy
system.
 SYSTEM CONFIGURATION:
 As it is a web application, it can run on any operating
system.
 JAVA, PYTHON.
 HTML, CSS, PHP, BOOTSTRAP.
 GRAPHS and TREES.
 METHODOLOGY:
 SYSTEM ARCHITECTURE

7.  PROJECT DESIGN:
 USE CASE DIAGRAM
 CLASS DIAGRAM
 PROJECT MANAGEMENT:
 GANTT CHART