Projects

1. Cancer Prediction Web App

The Cancer Disease Prediction web application is an innovative platform dedicated to providing immediate guidance and online consultation for individuals seeking information and support regarding cancer-related concerns. Employing advanced machine learning techniques, notably the Naïve Bayes algorithm, the system processes user-provided health details to accurately predict potential cancer diseases.

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Objective

The Project offer users a platform where they can receive instant guidance and information related to cancer concerns. It facilitates online consultation for users who are seeking advice and information about potential cancer diseases and ensuring users to have access to specialized medical expertise.

Student Name: Ajay
Semester: B.Tech. CSE 7th Sem
Batch: 2020-2024

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2. Chatbot

A multi-user chat applications runs using a socket programming, in this we create a server-client applications where multiple clients can communicate with each other individually or it can communicate with all the clients. By using this we can create a server client applications such as medical interface, customer report and service organization and other applications which can run by using this programming.

As chat applications are very important in day to day life and it require an internet to chat with each other and plays an important role for communication. As this applications are used widely in all the fields such as IT companies, schools, colleges, personal texts etc. As the chat applications needs an internet to chat it makes a major drawbacks because there are many outskirts area and many villages which do not have proper internet connections where they can communicate even locally.

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As this applications does not require internet to chat when the people are nearby, as it provides local host known as server using the method known as sockets where people known as clients can communicate with each other. Here the clients who are connected to the local host known as server can communicate with all other clients who are connected through local host.

Objective

The objective of chatbot varies depending on the context and goals of their implementation. Here are some common objectives of chatbots:

  • Customer Support: Chatbots are frequently used in customer service to provide assistance and answer commonly asked questions. They can handle basic inquiries, provide information about products or services and offer support in an efficient manner.
  • Automation: They are designed to automate tasks and processes that would otherwise require human intervention.

Student Name: Chanika
Semester: B.Tech. CSE 7th Sem
Batch: 2020-2024


3. Novel - Whispers

The Novel - Whispers encapsulates the idea of sharing stories. However, the name implies the hushed and intimate nature of a book club setting, where bibliophiles come together to discuss and enjoy literary works in an environment. The combination of "Novel" and "Whisper" suggests the act of sharing and discussing stories in a discreet and engaging manner, also this name aligns well with the concept of a book app that fosters interactive and meaningful discussions around books, encouraging users to engage in thoughtful conversations.

Novel-Whispers is a dynamic online platform that caters to the diverse needs of book enthusiasts. This website offers a multifaceted experience to its users, enabling them to read a wide array of book genres and maintain a comprehensive record of their reading journey. This website transcends the boundaries of solitary reading, connecting enthusiasts and enabling them to embark on shared literary voyages. In a world driven by technology, Novel-Whispers stands as a virtual haven for the bookish, where the love for reading is celebrated, preserved, and shared.

Beginning with this project, we first have a web app that consists of a registration and login feature to get the necessary details of the user. In the next step, the web app will allow users to explore the website providing different genres of books and read books for free. After that, they will see different blogs written by different users who have shared their views on some book journey reading experience and one can read that and can comment on one’s views on their point of view. Moreover, logged-in users will have the extra privilege to write their own blogs within the website and can share the reading experience with other users. Finally, the user can keep track of what the user had read earlier and what blogs were posted by that user by clicking on the My Profile button.

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For example,

Sophie, an avid book lover, recently stumbled upon the Novel-Whispers website. It's her first visit, and as she lands on the homepage, she's instantly drawn into a literary world of possibilities. Sophie's eyes light up as she explores the diverse collection of books showcased on the platform, ranging from classic novels to the latest bestsellers, and spanning genres she's always wanted to explore. With a sense of excitement, she creates her user account, eager to keep track of her reading journey. Sophie's curiosity is piqued by the different types of articles made available by other users via blogs. As she delves deeper, she discovers the vibrant community of readers who passionately share their thoughts and experiences through blogs and reviews. Sophie can't wait to join the discussions, make new bookish friends, and embark on a reading adventure like never before, all on her very first visit to Novel-Whispers.

Student Name: Anamika
Semester: B.Tech. CSE 7th Sem
Batch: 2020-2024


4. Recommendation Engine(FlixWave)

A recommendation system or recommendation engine is a model used for information filtering where it tries to predict the preferences of a user and provide suggests based on these preferences. These systems have become increasingly popular nowadays and are widely used today in areas such as movies, music.

A recommendation engine, also known as a recommender system, is a software or machine learning system designed to provide personalized suggestions or recommendations to users. These recommendations are typically based on the user's preferences, past behavior, or the characteristics of items or content available in each system.

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The objective of this project is to provide accurate recommendations to users. The goal of the project is to improve the quality of movie recommendation system, such as accuracy, quality, and scalability of system than the pure approaches. This is done using Hybrid approach by combining content based filtering and collaborative filtering, to eradicate the overload of the data, recommendation system is used as information filtering tool in social networking sites. Hence, there is a huge scope of exploration in this field for improving scalability, accuracy and quality of recommendation systems Recommendation system is very powerful and important system.

Student Name: Ankit Gulia
Semester: B.Tech. CSE 7th Sem
Batch: 2020-2024

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5. Sales Analysis Site (SAS)

The SAS project is being developed using Python, Django, HTML/CSS, JavaScript. It is intended to provide solutions to the K-Mart Corporation regarding their sales and advertisement. The SAS will be doing so by collecting monthly sales data and providing analysis on sales and suggestions for advertisement. It contains a homepage which includes information about corporations and a section for uploading DataFrames. Further analysis will be done on an automation basis and provide related graphs and plots on dashboards.The project thus plays a crucial role in Business planning and management. SAS provides admin access for uploading and modifying DataFrames. Also the data used for analysis and the analysis itself is critical data so there will be no public visibility. The user needs to go through the authentication process by login using authorized login credentials which provides a security layer to the critical data of the organization. Once logged in the authorized person has the access to the analysis dashboard on the basis of data uploaded. The application will feature an intuitive user interface, data collection forms, data analysis, and a dynamic dashboard for visualization.

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Objective

  • Create a user-friendly website for collecting and analyzing monthly sales data.
  • Perform data analysis to answer critical business questions.
  • Visualize sales trends and patterns through interactive charts and graphs.
  • Provide recommendations for optimizing advertising timing.
  • Enhance decision-making based on data-driven insights.
  • Promote user engagement through a visually appealing and responsive design

Student Name: Navnitya Vinayaka
Semester: B.Tech. CSE 7th Sem
Batch: 2020-2024