Browsing by Author "Bodke, Kalpana"
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Item Autorescuer(AIKTC, 2021-05) Bodke, Kalpana; Sayyad, Ayesha Harun Samina (17CO02); Qureshi, Ahana Mujib Nazarina (17CO07); Sayyad, Rahemat Lazim Reshma (17CO09); Shaikh, Iram Fatima Abdul Matin Nasreen (17CO12)In the 21st century everyone is in a rush to reach their destination on time, nothing should be a hindrance to their way of achieving their goal. This is an android application which can be used to track down the nearby mechanic shops (automobile service centers) in case vehicle breaks down or doorstep services are needed. Near to the registered service shops, notifications will be given when the customer comes into some area, if someone from that area is added their shop details to the database then the user will notify those shops. The location of the device is continuously transmitted to the server using GPS. Admin Panel offers the admin login to add shops and uninstall shops and use shop logins. After user registering to this application user can find several shop details which are associated with this application owner. Keywords: GPS, API, Multilingual system, service centers(Garage), Mechanic service, workshop, User(vehicle Owner), Automobiles, Geo-Location, Firebase, Notification,OTP, NOC, PUC, OS.Item C2C Android Application for Used Books(AIKTC, 2016-05) Bodke, Kalpana; Yadav, Pooja Krishna Neeta 12CO17; Patel, Mudra Manhar Bhagwati 12CO05; Srivastava, Sneha Hari Narayan Nisha 12CO16C2C android application for used books a platform that facilitates exchange of books in the student circle. It is a multifunctional platform wherein the students will be able to search and buy second hand books and sell their previous yearbooks amongst themselves. The prime users of this application would be students. The motive of this application is to ease out the burden of students to look for second hand books in different stores and to give one stop solution to this problem. Here, student can act as buyer as well as seller they after performing their respective task i.e. searching or uploading the genuine price of book is scraped from different e commerce sites and provided to user. The user can select each other based on location. Only after selecting particular buyer and seller the contact information of each is disclosed to each other through contact retrieval. Consequently, this application can be accessed from all the internet enabled devices. Hence, the objective of this project is to provide an integrated platform to student for buying and selling books.Item Epidemic outbreak detection and prediction using machine learning(AIKTC, 2020-05) Bodke, Kalpana; Poonawala, Mohd Ayan Ishtiaque (16CO44); Ansari, Mohd Salman Abdul Salam (16CO20); Sakharkar, Sahil Salauddin (16CO47)Epidemic diseases are the contagious diseases that are possible to be spread into the entire nation if the contagion measurement had reached the outbreak level and manage to wipe out the entire population. Epidemic Disease can have possible chances to spread into entire city if the contagion measurement reached to outbreak level.Epidemic disease outbreak had caused nowadays community to raise their great concern over the infectious disease controlling, preventing and handling methods to diminish the disease dissemination percentage and infected area. The aim of the proposed system is to predict the spread of an epidemic by analyzing the conditions in the areas where people are affected.This project is focused on Various diseases,such as Influenza,Zika Virus,Malaria,Dengue which is an infectious disease, caused by exposure to the virus. The prediction will be done by analyzing the spread based on the movement of the disease through the population. It will be implemented using Machine Learning techniques to predict the spread in particular geographical regions.An approach model to predict the Disease area by using Text Analysis.Epidemic model use the power of Social Media data and this data help to provide the probability score of a Outbreak of Epidemic.The Data is extract on daily bases which make the output of the model more accurate.we use SVM Algorithm and various Machine Learning Technique. Keywords: Epidemic Diseases,Disease Forecast,Prediction algorithm, Epidemic spread,sentiment analysis,Machine Learning ,social media, Epidemic Breakout Detection, public health,NLTK.Item Exam cell automation(AIKTC, 2020-05) Bodke, Kalpana; Fangari, Iram Riyaz (17DCO67); Pangarkar, Mariyam Niyaz (17DCO71); Qureshi, Gazala Bashir Ahmed (17DCO72)Currently Exam cell activity mostly includes a lot of manual calculations and is mostly paper based. The project aims to bring in a centralized system that will ensure the activities in the context of an examination that can be effectively managed. This system allows students to enroll themselves into the system by registering like by providing their Enrollment number, Name, email, examination, semester, etc. Examination Cell Automation System is developed for the college to simplify the activities of Staff and Students .It facilitates to access the examination information of a particular student in a particular department. The information is stored into the database,which will be provided by the teacher for a respective student. Here the admin updates the student details, staff details and can add or delete them Exam Cell Automation System has been created to avoid lot of manual work traditionally done by the Students, Faculties as well as the Exam Cell. The major Focus of the System is to efficiently manage the activities carried out by the exam cell.As we all know that examination plays a very crucial role in Students as well as in faculties life when its adhered to, all the work needs to be done with perfection and with full attention, however manually carrying out the examination work might lead to a flaw or a mistake sometime which in turn increases the work of the respected faculty. The Basic aim of designing this system is to computerize the manual work to a greater extent almost next to negligible. In this system the result will be generated by the exam cell by calculating the CGPI and SCPI of every individual student.The System will have a easy to use interface which will in turn will be helpful for the user. Currently the system used by the Exam cell also automated the work to a greater extent but still it requires a lot of manual work by the Students as well as the Exam cell and Faculties. This System acts as an interface between the Students, Faculties and the Exam Cell department. The information is stored into the database,which will be provided by the teacher for a respective student. Here the admin updates the student details, staff details and can add or delete them. The result will be finally a fully automated system. Keywords: Keywords—CGPI,SGPI,Manual work,Computerised,Term End Examination, Term Work,Gazette,CO Attainment.Item Garbage profiling system(AIKTC, 2021-05) Bodke, Kalpana; Momin, Faizan Haroon (17CO24); Khan, Wasiullah (16CO32); Shaikh, Mohammed Saif (16CO53); Shaikh, Mohammed Faisal (15DCO70)Building an image classifierWe’ll train a convolutional neural network to classify an image as either cardboard, glass, metal, paper, plastic, or trash with the Tensorflow library. Recycling contamination occurs when waste is incorrectly disposed of—like recycling a pizza box with oil on it (compost). Or when waste is correctly disposed of but incorrectly prepared — like recycling UN rinsed jam jars. it becomes very difficult to recycle the waste the same goes to metals like iron , copper , aluminum etc.and e-waste like mobiles , computers and circuits if we somehow manage to profile them in write time then we can easily recycle them and also sell to any recycling industries. Keywords: Image Classification, Garbage ProfilingItem Interior designing using augmented reality(AIKTC, 2020-05) Bodke, Kalpana; Chaudhary, Shoaib Shafique (16CO21); Shaikh, Mohd Mobin Shoukat (16CO55); Qureshi, Arshee Zamir (16CO08)Augmented Reality is defined as the technique which superimposes virtual objects over the real-world environment and lets them interact with the real-world environment. The paper discussed the application which is based on Augmented reality. Nowadays, AR technology is acquiring almost every field of study. Interior Designing is one of them. This proposed project aims to enhance the method of interior design using Augmented Reality. We are implementing an application based on Augmented Reality which will help interior designers or Architects to design the home interior of their clients so easily and quickly. The demand for the well decorative and furnished house of our own choice is high due to the rise in population. Hence, many organizations are focusing on this field to enhance the traditional technique. This paper presents the application which will virtually display the type of interior designing a customer wants and accordingly, able to apply it in the real project. Basically, user can place virtual objects on the real-world which will allow them to design their interior of the house using this simple mobile application. In this tough competition in the field of interior design, this application will provide a lot of features. We aimed to enhance the current interior designing process by reducing effort and time. Our application will also include multiple textures and designs so that there will be a large variety for the customers to choose from. Hence, the clients will be able to view the interior plan before the actual implementation and thus, can customize their designs instantly at that very time. The system will provide a user interface to augment the 3d object models in the room. Keywords: Augmented Reality, virtual, interaction, android, marker-less, surface detection, interior design, architecture, 3D virtual model.Item Lecture Feedback Polling Using Android Devices(AIKTC, 2016-05) Bodke, Kalpana; Shaikh, Aqsa Arif Mumtaz (11CO09); Shaikh, Israr Shaukat Ali Hajra (11CO41); Ansari, Moina M.D Akhtar Amina (12CO01); Shaikh, Yashab Mohammed Yakub Shamim (13CO73)The feedback activity provides topics to stimulate conversation in the class and provides the lecturer with immediate feedback about student views and understanding that can help direct in-class learning to address gaps in knowledge and understanding. Using computers and other electronic devices in education is not a new concept, involving mobile devices into an everyday classroom setting is something relatively innovative. This idea is strongly supporting new and emerging mobile learning paradigms. The feedback using mobile devices is quiet a new forms of opportunity and educational dynamics for collaborative interaction and feedback from students remain to be utilised and explored. The interactivity and enhancing the teaching â“ learning methodology is an important aspect of our system. Our system is an android application as well as web-based application. This system is based on polling (voting). Feedback polling is done by the students using their android mobile devices. This needs wireless connection(data connection or Wi-Fi). The system is mainly designed for better interaction between students and teachers. The polling is done by studentâTMs for the particular lectures. This system can lead in enhance progress of students learning experiences and teachers improved way of delivering their subject knowledge.Item Location based task reminder(AIKTC, 2015-05) Bodke, Kalpana; Patil, Sagar (11CO34); Shaikh, Gulsher (11CO40)Personal task reminders have been indispensable for modern people, in order to remind them of their tasks at specific circumstances. Traditional paper based reminders are still useful, but they cannot be organized efficiently. Electronic reminders based on the calendar in Cell phones are more efficient and gaining popularity, but such reminders are mostly triggered by time. In many situations, tasks are only meaningful to be performed at a specific location, so it would be useful if reminders for those tasks can be triggered only when the person to be reminded is physically near or located at that location. Therefore, in this research, we develop a location-based personal task reminder for Android-based smart phones and tablets. To distinguish our work from existing ones that rely solely on the GPS technology, we take advantage of the ubiquity of IEEE 802.11 WLAN infrastructure to Compliment the ‘‘blind spots’’ of GPS location sensing. Combining the two technologies makes it possible for the personal task reminder to be effective in both indoor and outdoor environments. We also propose two operating models for the personal task reminder to boost the usability of the application. Furthermore, as long as the WLANinfrastructure is available, our work as a foundation of location-based services can easily be extended to be used in many other scenarios, such as guiding in public transportation systems or tourist attractions, location based learning, and even caring of the Dementia residents.Item Nex-Gen power ERM(AIKTC, 2020-05) Bodke, Kalpana; Ansari, Haaid (17DCO64); Harnerkar, Reema Salahuddin (16CO02)Today in the world of growing technology the domain of artificial intelligence is the pioneer. There are majority of the advancements and applications of Artificial Intelligence that we hear about refer to a category of algorithms known as Machine Learning. Self-learning algorithms use statistics to draw models from huge amounts of data. Machine learning is able to make very precise assumptions about what we do, about the next activity we might want to do. Our project will be using machine learning in order to facilitate working of an employee management system and will help the HR manager to analyse the performance and growth of individual employee. Our project will also find any unusual pattern in the performance of employees Our project will be using Deep learning in order to facilitate the employee attrition that will lead to reduce the employee turnover for the company, which is huge amount of cost for a big organisation. Organisations face huge costs from employee turnover. For a progress in organisation its important to know which of your employees are important to the organisation. Our project will be using h2o package and lime package to implement employee attrition. Keywords: Attrition,Machine Learning, Data Mining, Training set, Training Data, Automated System, pattern Recognition, Deep learning, Knowledge extraction, Data preprocessing, knowledge extraction,Web module,Artificial Intelligence.Item Novel solution for pharmacodynamics(AIKTC, 2016-05) Bodke, Kalpana; Honnutagi, Iqrazuddin (13CO71); Tanaji, Faizan (13CO65); Shaikh, Farooq (11CO39)The proposed system will be a computer software which is used for pharmacodynamics. The software will be developed by using and Microsoft Visual Studio and some kinds of simulation software. Pharmacodynamics is actually a mechanism of drug action. Pharmacodynamics is nothing but the experiments which are performed on living things like animals to show out the effects of certain medicines or chemicals or drugs. Pharmacodynamics is often summarized as the study of what a drug does to the body, whereas pharmacokinetics is the study of what the body does to a drug. The experiments has to perform on living things like on animal’s body , nowadays the different pharma experiments like effects of given drugs on animal’s bodies are banned. So we need an alternate to perform this kind of experiments which look like and real environment. The solution for this problem will be a software which do the experiments on animal bodies rather than to perform it on actual body of an animal. The software will do the experiments on simulated body of an animal. It is something like applying a drug on simulated body and see the changes on it and according to the result you can change the dose of drug.Item PHR Based Health Care And Emergency Aid System Using Google Cloud Messaging(AIKTC, 2015-05) Bodke, Kalpana; Kazi, Ravish (11CO17)PHR stands for Personal Health Record. PHR is a tool that a person can use to collect, track and share past and current information about his health or the health of someone under his care. This concept of PHR Based Health Care System can act as a bridge between patient and doctor with no restriction of time and place. In this System, the patient has his own PHR record and can update his PHR record and can also links his family doctor to his PHR record.When a patient updates his PHR record, the doctor who is linked with his PHR record will get an automatic notification regarding the updation of PHR record by the patient.Thus doctor receives updates about the current condition of a patient and can also give suggestion to the patient as required. Emergency Aid System, abbreviated as EAS, is a system that provides emergency medical care. Once it is activated by an incident that causes serious illness or injury, the focus of EAS is emergency medical care of the patient(s).The Concept of Emergency Aid System using PHR is- Suppose, if a person having a PHR record meets with an accident, he can immediately notify through his digital device about his accident to the nearest registered hospital from the location where he met with the accident. The corresponding hospital will get notification about the accident, which contains person’s user id for his PHR record, using which the hospital staff can get the past and present health record of the concerned person, and location information or Geo co-ordinates where the accident has taken place. Thus the hospital staff can get the person’s health related information and location where accident has taken place, in advance and thus can do emergency treatment appropriately. The project is implemented on android platform.Item Product recommendation system in warehouse management(AIKTC, 2021-05) Bodke, Kalpana; Memon, Mohd Sahil Sajid (17CO35); Bebal, Altamash abdul Hamid (17CO15); Sayyed, Alfina Mohammed Aziz (17CO10); Kokate, Pranali Prakash (17CO04)In the current pandemic situation of COVID-19, people are afraid to leave their homes even to get the basic day-to-day life essentials like groceries,vegetables,fruits etc. Everyone wants to maintain social distance, but in some cases even if they want to they can’t. People wants to make less and less interaction with each other for their safety purpose. But they have to leave their homes to get their daily supplements. We never know which seller or vendor is infected. The online shopping sites like amazon, flipkart, bigbasket etc. are providing groceries at home but the disadvantage is that they have limited slots and most of the time they are not available. So if one person wants to cook for today but will get vegetables and groceries after 2 days if he/she shops from these online sites, which makes no sense.We want customers shopping experience for groceries and daily essentials to be hassle free and comfortable. The solution to this problem is an android application and website through which user will be able to shop for daily essentials which will be available to user with minimum time. The main aim of the proposed system is to provide user an easy and safe shopping interface where he/she will shop without any worries of social distancing and other health risks and will get his/her purchase with least time delay. Also, the admin can easily manage the warehouse with help of the admin panel developed. Keywords: Android, COVID-19, Social distance, Groceries, Recommendation,warehouse management, website, online shopping,grocery apps.Item Surveillance Robot controlled using an Android app(AIKTC, 2015-05) Bodke, Kalpana; Shaikh, Shoeb Maroof Nasima (12CO92); Ansari, Asgar Ali Shamshul Haque Shakina (12CO106); Khan, Sufiyan Liyaqat Ali Kalimunnisa (12CO81); Mir, Ibrahim Salim Farzana (12CO82)The robotics and automation industry which is ruled the sectors from manufacturing to household entertainments. It is widely used because of its simplicity and ability to modify to meet changes of needs. The project is designed to develop a robotic vehicle using android application for remote operation attached with wireless camera for monitoring purpose. The robot along with camera can wirelessly transmit real time video with night vision capabilities. This is kind of robot can be helpful for spying purpose in war fields. The wifi technology is relatively new as compared to other technologies and there is huge potential of its growth and practical application. The android application loaded on mobile devices, can connect with security system and easy to use GUI. The security system then acts on these command and responds to the user. The CMOS camera and the motion detector are attached with security system for remote surveillance. A robot is a machine capable of carrying out a complex series of actions automatically, especially one programmable by a computer. A robot can be controlled by a human operator, sometimes from a great distance. In such type of applications wireless communication is more important. This paper also shows general idea and design of the robot. Surveillance security robot provides safety like man. Automatic patrolling vehicle for periodic patrolling in defined or a restricted area, the patrolling vehicle can move automatically to monitor the dead zones and capture the images by using the camera.