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Abstract Project Details

S.No Description Group No 1
1 Title Automated Reminder System for Cervical Cancer Patient
Projectees Pooja Tetu
Tejashree Shendre
Utkarsha Ghyar
Vaishnavi Giri
Guide  / Co-guide Ms. Komal Ramteke
Abstract Cervical cancer is the most commonly found in female’s in developing countries and it is also observed that a woman dies of cervical cancer in every two minutes. However, in India this disease is still killing up to 8,000 women annually. So, there is great need to assess the knowledge of cervical cancer screening among India women. To overcome these problem, we have designed an Automated Reminder System to send an automated message to the patient and remind them about the test and encourage them to take a regular test.  Here system sends the reminder just three days before the date of appointment. Further for the convenience of doctor and patient system provides the function of uploading and downloading the medical report of the patients. This result in taking regular check-up and acquire knowledge about the cervical cancer. This helps to increase the lifespan of the women and spread awareness about the symptoms and causes of the cervical cancer.
Keywords Cervical cancer, Antiretroviral therapy, Pap smear test, epidemic, diagnosed, colposcopy
S.No Description Group No 2
2 Title Design And Analysis Of IOT Based LPG Cylinder Leakage And Weight Detection System
Projectees 1. Amruta Amle K 
2. Manisha Varma
3. Shraddha Paithankar
4. Shreyanka Manekar
Guide  / Co-guide Prof. Y.M.Narekar/Mr Abhishek Singh
Abstract The consumption of Gas cylinders have had a drastic jump from 54% to direct 80% in the last three years, this was possible because PM of India encouraged and provided Indians LPG gas cylinders so that they can easily cook food, and can avoid risking their health and habits by using old traditional methods of cooking. Also, more LPG gas cylinders mean that more production to the LPG producing gas companies, and also hazardous mishaps due to gas leakage. The most common problem caused while using LPG gas cylinder is that one is completely unaware about when the gas will need a refill and hence tends to order LPG once it gets completely dry. This System tries to solve this problem, it detects the weight of the gas cylinder and once the gas cylinder comes below a threshold value ( 1 Kg in this case) it notifies the user by sending a SMS, also this is displayed on the LCD screen as well, the same message is displayed on a HTML page. In addition to this, the leakage is not detected by normal human being and needs a sophisticated tool which detects the gas leakage, so as to avoid accidents. This system detects harmful gases and immediately notifies the user by sending a SMS and displaying it on the LCD screen, the same message is displayed on a HTML page. This system uses the concept of Internet Of things, and connects LPG gas cylinder to the internet and notifies user if a gas refill is needed. Furthermore this system also includes Analysis of the gas used every month, and will indicate which month has a high gas usage and similarly which month has lower gas consumption, It helps companies who manufacture LPG gas cylinders, to decide whether to increase or decrease their production.
S. No Description  Group No 3  
3 Title Design And Implementation Of IOT Based Samart Irrigation System
Projectees Miss. Oshin Nagpure
Miss. Ritika Charpe
Miss. Monali Daf
Miss. Rasika Arsade
Guide  / Co-guide Prof. Alok Chauhan
(Guide)
Prof. Lokesh Chawlw
(Co-guide)
Abstract  India is the agriculture based country. Our ancient people completely depended on the agricultural harvesting. Irrigation management is a complex decision making process to determine when and how much water to apply to a growing crop to meet specific management objectives. If the farmer is far  From the  agricultural land he will not be noticed of current conditions. So, efficient water management plays an important role in the irrigated agricultural cropping systems. A low cost alternative solution for efficient water management currently in use is smart irrigation systems that consist of an automated irrigation mechanism which turns the pumping motor ON and OFF on detecting the moisture content of the earth using the soil moisture sensor without the intervention of human. The benefit of employing these techniques is to decrease human interference and it is quite feasible and affordable. This Smart irrigation system project is using an arduino micro-controller, that is programmed to collect the input signal according to moisture content of the soil and its output is given to the mobile application that will operate the pump.
   
Keywords Arduino , Soil sensor, Temperature sensor, Water motor.
Sr. No Description Group No 4   
4 Title Swear Detection And Prevention System using Typeahead Script
Projectees 1. Sayli Ambulkar
2. Rita Jadhav
3. Meena Borkar
4. Pranay Irdande
Guide  / Co-guide Prof. Alok Chauhan
Abstract Internet becomes more popular in the day to day activities of users. In recent years online social networks (OSN) also increased rapidly. The users can communicate and share their views and content through online social networking services (OSN). The sharing between the users should be several types of content like image, audio, video etc. The main draw-back of these Online Social Networking (OSN) services is the lack of privacy for the users own private space. The users can’t have the ability to direct control to prevent the undesired messages posted on their own private walls. Online Social Networks (OSN) becomes an important part of many people life today. So Online Social Networks (OSN) should be highly secured to prevent the individual’s privacy. Up to now the Online Social Network (OSN) provides the security measures are limited. To filter the unwanted messages, in this work proposed an enhanced filtering system by using machine learning technique based on a content filtering.
Keywords Online Social Networks, machine learning, content filtering
Sr. N. Description Group No 5
5 Title  “QUETUS” (Android Based Application for Informing Actual Appointment Time)
Projectees 1. Saurabh Sonkusare
2. Ankush Dhirde
3. Tanmay Warokar
4. Abhinav Chhonker
Guide  / Co-guide Prof. Manish Goswami
Abstract When patient wants to take treatment from the doctor, they need to take appointment by getting there in hospital each time. This is troublesome and stressful for patients who are having serious problems or disorder. Even though the patient gets the appointment they have to wait for their turn to meet doctor.  Sometimes doctor get late to hospital because of some reason. At such times patient needs to wait for even so longer than he hopes. The advantage of using web services for providing the services remotely to the patient. Also one of the biggest advantages of providing services across web is that it can help to manage the time. Through the connection between clients and server, both the doctor and patients can communicate efficiently with required data. For enhancing the interaction among the doctor and the patient we can use the web services, database technology which can be run on android smartphones for accomplishing the patient needs. So, hence to overcome above problem, this android based application is developed which will be very beneficial for the user or the patient in whom they are able to fix an appointment with the particular doctor they want to consult. This application will notify the patient by SMS regarding his approximate appointment time with the Doctor.
Keywords Web service, synchronization, Android, 
S.No Description Group No 6
6 Title “Implementation Of Dynamic Bayesian Classifier For Cancer Prediction”
Projectees 1.Amrapali Patil        
2.Swati Dharale
3.Trupti Brahmapurikar                 
4. Vishakha Patil
Guide  / Co-guide  Prof. Alok Chauhan
Abstract Cancer is one of the real issues today, diagnosing cancer in earlier stage is very important. The proposed system is predicts lung, brain, bladder, liver, leukemia and melanoma cancer and it is easy to use and cost sparing. This examination utilizes data mining strategies, for example, classification, clustering and prediction to distinguish potential cancer patients. This system is approved by its outcomes and patient's earlier medical data. It has proposed this cancer prediction system in view of data mining strategies. The fundamental point of this model is to give the prior notice to the clients.
Keywords Cancer, Data Mining, Clustering, Classification, Decision Tree.  
Sr.No Description Group No 7  
7 Title ENHANCHED PALM PRINT IMAGES FOR PERSONAL ACCURATE IDENTIFICATION
Projectees Aishwarya Shende,  Pooja Tete,  Nisha Surjuse, Naina Chandravanshi
Guide  / Co-guide Prof. Rahul Sathawane
Abstract In this project, we propose an innovative touch-less Palm-print recognition system coupled with biometrics. Multibiometrics can provide higher identification accuracy than single biometrics, so it is more suitable for some real-world personal identification applications that need high-standard security. Among various biometrics technologies, Palm-print identification has received much attention because of its good performance. Combining the left and right Palm-print images to perform multi biometrics is easy to implement and can obtain better results. Here, we proposed a novel framework to perform multi biometrics by comprehensively combining the left and right Palm-print images. This framework integrated three kinds of scores generated from the left and right Palm-print images to perform matching score-level fusion. Moreover, to ensure that the mechanism used for this security the concept of reverse imaging is used. Palm-print to be extracted for analysis. To execute matching algorithm, we have used Harris Operator to calculate the pixel score. The proposed weighted fusion scheme allowed perfect identification performance to be obtained in comparison with previous Palm-print identification methods.
Keywords Palm print recognition, Segmentation, Binarization, Feature Extraction, Hand Tracking, Gradient Operator and Harris Operator.
Sr. No Description Group No 8
8 Title Design and Development of Android Application ‘ClgPaY'
Projectees 1.     Shrunkhal Wankar
2.     Rushikesh Kamde
3.     Akash Gaurkar
4.      Akash shahu
   
Guide/Co-Guide Prof. Parag Dhawan
Abstract An android application which stores a basic information about an college student, which he/she will be able to access it through the college Id card by scanning the barcode. Through this application the student will also be able to pay the college fees, and the library fees online. This will be advantageous to students as well as college as the students  will be able to pay the fees anytime and anywhere online, i.e.  there is no time bound for transactions to happen. This will simplify the process of paying the college fees and library dues as it will reduce the hassle of maintaining the queues in front of the account section of the college.
S.No Description   Group No 9 
9 Title QUICK  RESPONSE  TEST 
Projectees Kajal Kumari Rana,Ujjwala Palkrutwar,Sneha Sheware, Gaytri Parwarkar
Guide / Co-Guide Prof. Rahul Sathawane
Abstract The  aim of this  project is to design QUICK RESPONSE TEST for the students through which students can give their test by using student’s own mobile phones.The purpose of the development of this project is to reduce time complexity and the use of multiple computers.The  work of the use of QR code recommends a set up of an automated examination system to process , exams, marks, score, grade and  report on these assessments.. Although the system has the potential to make the question papers easily available to students using the QR code also it is handy for the students to give the answers to the questions which is time saving for teachers as well as students  and also checking is an error free.
Keywords Mobile learning, e-learning, smartphone, survey,quiz, student feedback.
S.No Description Group No 10 
10 Title College Guesstimate ( A Web Portal for College Prediction)
Projectees 1.  Rohan Battulwar
2.  Prasheel Fuley
3.  Shivam Joshi
4.  Roshan Chaturpale 
5.  Ananiya Mahajan
Guide  / Co-guide Rahul H. Sathawane 
Abstract The ease of making better choices and making better decisions in terms of selecting colleges is our aim. Our analysis on colleges for the students makes easier for them to make accurate decision about their preferred colleges. 
For such analysis, it requires future possibilities from the past record data which can potentially make the predictions and recommendation for students. Our analysis with the data mining methods would help giving probable accuracy and this requires analytical methods for predicting future recommendation.
 Today, most students make mistakes in their preference list due to lack of knowledge, improper and incorrect analysis of colleges and insecure predictions. Hence repent and regret after allotment. Our project will solve the general issue of the student community by using technology.
Keywords  DTE, Analysis, Data Analysis, big data, Prediction Analysis 
S.No Description Group-11
11 Title DESIGNING OF PREDICTION BASED SYSTEM FOR TRAINING & PLACEMENT
Projectees 1. Sandip Mahato
2. RohanMeshram
3. Sarang Gadge
4. LokeshTabhane
Guide  / Co-guide Prof. Y.M.Narekar
Abstract We have developed a web based application whose background is that it is able to analyze and predict an individual’s result, so that the particular student get an idea about his/her skills.
We investigated that even though students have good academic and communication skills but they don’t have enough aptitude knowledge to pass it. They could easily go through a group discussion and personal interview but unable to crack aptitude test. This is the main reason behind not getting placed during campus recruitment drive. We are trying to solve this lack of aptitude skill.problem through this project at the beginning of their final year.
This thesis is about to develop a web based application which has a login page for student, MCQ type aptitude test and prediction is done on that test. .That test will contain multiple choice questions on English Comprehension, Logical Reasoning, Quantitative Ability, Technical Knowledge etc. Once the test is completed our application will predict that student’s result and show him strength and weakness.This would help them to know their week points at early stage and improve their skills before they appear to aptitude test.
 
Keywords PHP, MySQL, Prediction Algorithm, WAMP Server, Mock Test
Sr. No Description Group-12
12 Title Secured Data Access in Cloud Computing
Projectees 1. Rushikesh Duve
2. Shrirang Paretkar
3. Saurabh Vaidya
4. Mayank Murdio 
Guide  / Co-guide Guide:  Prof. Akhil Anjikar                                                           
Abstract Cloud computing is an emerging paradigm in which resources of the computing infrastructure are provided as services over internet. The Access and retrieval of data is done on cloud and this data can be easily accessed, which means it is not secured, many times the data content is personal or private for a particular organization and therefore security becomes a major issue for this type of data. As it has less security it can fall in wrong hands which could be harmful for the respective organization. We investigated and found that in most of the cases security is the main issue.
Keywords Cloud Computing, Data Base, Encryption Techniques, Decryption Techniques.
S.No Description Group No 13
13 Title “Handwritten Character Recognition & Detection Using Histogram Technique” 
Projectees 1.Manish Gour
2.Pranay Wekhande
3.Tanmay Bahadure
4.Shubham Raikwar 
5.Yogendra Gupta
Guide/Co-guide Prof.Parag Dhawan
Abstract Cursive handwriting character recognition is a challenging task for many real-world applications such as document authentication, form processing, and postal address recognition, reading machines for the blind, bank check recognition, and interpretation of historical documents. Therefore, in the last few decades, researchers have put an enormous effort into developing various techniques for handwriting recognition including Neural networks and algorithms such as CSIM. Neural networks recognizers learn from an initial image training set. The trained network then makes the character identifications. Each neural network uniquely learns the properties that differentiate training images. It then looks for similar properties in the target image to be identified. Neural networks are quick to set up; however, they can be inaccurate if they learn properties that are not important in the target data.Input an image, where the words are handwritten in cursive handwriting and by applying the techniques discussed above, output can be obtained i.e. the desired word of which the characters are to be identified, will be identified in desired manner. Accuracy in detection of a character may vary.
Keywords Handwriting, Character, Image, Accuracy
S.No Description Group No 14
14 Title Algorithm for Distributed Database using Association Rule Mining
Projectees 1. Samiksha Patankar
2. Seema Belgaonkar
3. Palash Nashine
4. Romy Kamble 
 
Guide  / Co-guide Guide:  Prof. Akhil Anjikar
Co-guide: Mr.Sudhir Deshmukh                                                              
Abstract In current networking and communication environment maintenance of huge data is big concern. Application requiring huge data processing which leads towards several problems such as handling of huge amount of data monitoring of data, processing time for a database and growing databases. In distributed databases as amount of data is very large it effects the pre-processing of the system. In proposed system an algorithm is design to raise the pre-processing of a resulted data over distributed database. In this processing is done on large quantity of a data and collects the processed data for future. The optimize resulted database can be used for quick searches. Finest possible solutions are obtained for Distributed Databases.
Keywords Data Mining, Association Rule, Database Management, Apriori Algorithm.
S.No Description Group No 15
15 Title An Encrypted and Dynamic Multi keyword Ranked search in cloud storage.
Projectees 1. Manasi Bire
2. Vaishnavi Ajankar
3. Alisha Damodare
4. Neha Bhoyar
5. Prajakta Lanjewar
Guide   Manish.M.Goswami
Abstract The increasing popularity of cloud computing has lead more and more data owners to outsource their data to cloud server for great convenience which gives rise to a problem of secured  search  over encrypted data.  A secured multi keyword ranked search over encrypted cloud data has been proposed using the "Greedy depth first search' algorithm. The vector space model and the widely used TF-IDF model are applied for index construction and query generation. The secure KNN algorithm is utilized to encrypt the index and query vectors followed by calculating the relevance score of the same. The proposed solution shows significant improvement over existing techniques.
Keywords Cloud computing, encryption, ranking.
S.No Description Group No 16 
16 Title Design and Development of E – commerce Portal for Auto Parts
Projectees Viplove Wahane
Guide  / Co-guide Alok Chauhan
Abstract E-commerce is swiftly gaining ground as a valid and widely accepted business platform. Many businesses are implementing websites providing functionality for executing commercial transactions over the web. It is reasonable to say that the process of shopping online is becoming mainstream. The objective of this project is to develop a general purpose e-commerce portal where all product (such as Suspensions, Horns, Cylinders, Leg Guards) can be bought comfortably from home through the internet E-commerce is fast gaining ground as an accepted and used business paradigm. More and more business houses are implementing web sites providing functionality for performing commercial transactions over the web. It is reasonable to say that the process of shopping on the web is becoming commonplace. 
An online store is a virtual store on the Internet where customers can browse the catalog and select products of interest. The selected items may be collected in a shopping cart. At checkout time, the items in the shopping cart will be presented as an order. At that time, more information will be needed to complete the transaction. Usually, the customer will be asked to fill or select a billing address, a shipping address, a shipping option, and payment information such as credit card number. An e-mail notification is sent to the customer as soon as the order is placed
Keywords Auto parts, E-commerce, portal,