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Information Technology

Abstract Project Details

Description Group No 1
Title Parallel Mining In Blockchain For Bitcoin
Projectees Vrushabh Uprikar
Siddhesh Khadse
Ankit Kumar
Mayank Mahankal
Guide  / Co-guide Mr. Milind Tote
Abstract We are focusing on Bitcoin and its parallel mining. Cryptocurrency mining  has become a challenge for a new miner to get Bitcoin in form of reward by mining them. We are using parallel computing technique to generate nonce value in efficient and faster way using multiple threads with the help of parallel mining. We showed difference between sequential mining and parallel mining. How parallel mining helps to increase the hash rate to mine new and valid blocks for the Bitcoin. We further improve this using parallel processing for mining the Bitcoin using multi-threading to improve the efficiency of mining.
Keywords Cryptocurrency, Blockchain, Bitcoin, Parallel processing, Serial processing.
Description Group No 2
Title Secure Data Storage Using AES Algorithm
Projectees Ameya Hugewar
Bhushan Sarde
Akshay Dighorikar
Shubham Sontakke
Guide  / Co-guide Prof. Alok Chauhan
Abstract For general public, the data present in the desktop or in the PC is not in an encrypted form. So, if the data is being fetched by the intruder then it can manipulate or miss use the data. To avoid the misuse of the data from any guest login or by any hacker the data present in PC or desktop must be stored in an encrypted form.Thispaper evaluates theimportance of encryption process applied on the data, which is being done by the AES algorithm for 128bit plain text. The software provides the intermediate platform that can enact as an encrypting application and also provides the interface to interact with the server. This server     stores the encrypted data as per the standards of “MongoDB”, it is a schema free database of documents.
Keywords AES Algorithm, Symmetric Key Encryption/Decryption, Key Expansion, Ciphertext, Plaintext, Mongo DB, Client-Server, Key Generation
Description Group No 3
Title Pricing Prediction System
Projectees Kalyani  Wagh
Karishma Siriya
Payal Bhoyar
Rinkal Mendhe
Guide  / Co-guide Prof. Akhil Anjikar
Abstract Now a days house prices tend to increase frequently. This is due to the demand for residential sector every year, especially in urban areas. Prediction of house prices is important, especially for property investors and property buyers. While buying a piece of house, a person may be reported prices much higher than their actual values. While selling their house, the person may be reported prices lower than their values. The current house negotiation process in the rural areas involves unauthorized officials carry out the house transactions with traditionally defined parameters that lack clarity, and hence the buyers/sellers are tricked easily. The pricing prediction system uses concepts of machine learning as well as model evaluation and validation techniques to establish a system capable to predict the price of house accurately. The system uses algorithms that consider relevant parameters which affect the suitability of a piece of house, hence ultimately affecting the price. The system is a useful tool for the lesser educated people living in the rural areas who are unaware of the legitimate pricing of house and are tricked into being informed the price much higher that it’s actual value
Keywords Keywords:house price, python, machine learning, validation techniques, notebook server
Description Group No 4
Title Project Guesstimation System
Projectees Aishwarya Ingle
Akanksha Nandgaonkar
Bhawana Prakash
Rucha Bobde
Guide  / Co-guide Prof. Yogesh Narekar
Abstract Academic Project management is a major issue which is faced by many educational institutes. The main reason for this is there is no automated system followed in any institute. College management/staff gathers all the project reports and project sources from students and store them physically in some locations probably libraries. To overcome this practical problem and also to make the process easy we developed a secured intranet application which is useful for each. This project realizes several functionalities such as: reducing redundant tasks; giving productive workflow with efficiency; and, providing centralized and consolidated feedback from the approver, reduced risk of errors, increased functional security, message encryption, and improved tracking progress status. This will reduce the physical efforts of students meeting the guide and also reduce the time frame period of completing this part of project work. Students can also update their project status weekly and provide in for regarding the progress, which will be monitored by all relevant professors and head of departments. It will be useful for all students related to Engineering, MSc, M.Tech, final year students of any grad etc.
Keywords Project management, project evaluation, project approval and updating .
Description Group No 5
Title Twitter Sentiment Analysis using R-Studio
Projectees Shubham Chafale
Rahul Patil
Shivani Basutiya
Guide  / Co-guide Ms. Devika Deshmukh
Abstract Twitter is a social media platform, a place where people from all parts of the world can make their opinions heard. Twitter produces around 500 million of tweets daily which amounts to about 8TB of data. The data generated in twitter can be very useful if analyzed as we can extract important information via opinion mining. Opinions about any news or launch of a product or a certain kind of trend can be observed well in twitter data. The main aim of sentiment analysis (or opinion mining) is to discover emotion, opinion, subjectivity and attitude from a natural text. In twitter sentiment analysis, we categorize tweets into positive and negative sentiment. Sentiment analysis is computational task of automatically determining what feelings a writer expressing in text. The accuracy of a sentiment analysis is in principle, how well it agrees with human judgments. According to our analysis we have polarity like positive and negative but we also discuss about advance polarity like anger, happy, sad, anticipation etc
Keywords Sentiment analysis, R Studio, Twitter.
Description Group No 6
Title Digital Vending Machine using Raspberry Pi
Projectees Mr. Aman Bhoyarkar
Mr. Anuja Solanki
Mr. Ashutosh Balbudhe
Guide  / Co-guide Dr. Manish Goswami / Mr. Sandip Sonaskar
Abstract A vending machine is an automated machine that provides various different items to the users or consumers, whenever the user logs into the machine in exchange of some money, credit cards or some specially designed payment method for the machine. Similar to the development of mobile phones into smart phones, the vending machines also developed into smart/digital systems using newer technologies. In this project, a software system is developed for a Raspberry Pi based digital vending machine by using Python. It provides a nice interactive Graphical User Interface (GUI) for the users to operate the machine, and get their desired product. Kivy Python framework has been used  for better interactivity and enhanced graphics. The users can scan their RFID Tags and then logs in into the system, to choose their desired product, and get it dispensed.
Keywords Python, Kivy Framework, Raspberry Pi,  Tkinter
Description Group No 7
Title Forensic tampering detection in videos
Projectees Afreennaz Sheikh
Bhavana Mojankar
Radhika Raghatate
Ruchita Akhand
Guide  Prof. Rajeev N. Verma
Abstract Video tampering is a process of malicious alteration of video content, so as to conceal an object, an event or change the meaning conveyed by the imagery in the video. Fast proliferation of video acquisition devices and powerful video editing software tools have made video tampering an easy task. Hence, the authentication of video files (especially in surveillance applications like bank ATM videos, medical field and legal concerns) are becoming important. Forensic tampering detection is very useful in crime situations where we need to check the authenticity of the video. Criminals resort to video tampering to prevent capturing of their illicit actions. The quick advance in video editing techniques has enabled people to synthesize realistic video conveniently. Our proposed techniques play the key role to examine the authenticity of video evidences.The image editing tools have become easily available on the internet, which has made people who are a novice in the field of image editing, to be capable of tampering with an image easily without leaving any visible clue or trace behind, which has led to increase in digital images losing authenticity. The various techniques for tackling authenticity and integrity of forged image is used. A robust and enhanced algorithm is been developed in detecting copy-move forgery, which is done by using the MATLAB platform.
Keywords Video forgery detection, video tampering detection, video forensics, video anti-forensics.
Description Group No 8
Title Barcode Based billing System for Supermarket using android smartphone
Projectees Mansi Karanjekar
Pratiksha Rode
Priyanka Meshram
Sidhant Mankar
Guide  / Co-guide Ms. Komal Ramteke
Abstract The Smart Shopping methodology is a collaborating ease in smart shopping and the sense of security money wise as well as for customer satisfaction while doing shopping offline. This is implemented using an Android application. In Shopping mode, the customer needs to physically pick up his purchase, carry cash, along with them and wait in the long queue to make payments. The application mentioned here would read the Bar code of the product & add it to the shopping cart in the application. It provides methods to change the quantity of product purchased and edit the list. Along with that customer can easily view his cart, bill and amount and products.
Keywords Barcode, Barcode Scanner, Andriod, Android Smartphone
Description Group No 9
Title Amigo- A Farmer’s Friend
Projectees Mayuri Hadge
Renuka jambhulkar
Karishma Mohod
Gauravi Baskarwar
Guide  / Co-guide Ms. Sharayu Sangekar
Abstract We aim to focus on spreading awareness about the agriculture schemes, new farming techniques, to access easily agriculture related documents, such as 7/12, 8/A in their villages, to provide crop related updated information. To guide suitable fertilizer for crop and updating with market rate information. Agriculture is considered to be a main occupation for a most segment of population. The agriculture field place a major role in the India’s Development. There is large gap between rural areas and information residing in agricultural knowledge center. E-agricultural is the rising field focusing on the improvement of agriculture and rural development through communication processes and advanced information and technology.
Keywords SMS gateway 7/12, 8/A, GUI interface, Android, Digital India, crop, E-governance.