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Item LVMOOLPER(NHCE, 2024) Vikaram Roy 1NH21IS176, Vikas V Vinayak 1NH21IS414, Ahana 1NH20IS 206Lvmlooper is an advanced and highly adaptable automation tool, specifically designed to streamline and optimize the management of Logical Volume Manager (LVM) volumes using Loopback or loop devices. Logical Volume Manager is a powerful tool used in Linux-based systems for managing storage devices, enabling the creation of flexible storage environments. However, the manual management of LVM volumes can often be complex and error-prone, especially when scaling storage systems or performing routine administrative tasks. This is where Lvmlooper comes into play by automating a wide range of tasks, it significantly simplifies the management of logical volumes, providing system administrators with a more efficient and error-resistant solutionItem Connect For Game(NHCE, 2024) Kisan C Patel 1NH21IS079, MANIKANDAN R 1NHH21IS090, P Dinesha Kumar Reddy 1NH 21IS113, Bhargav Kumar Reddy 1NH21IS137This project focuses on the design and development of a Connect Four game, a classic two-player strategy game. The primary objective is to create a digital version of the game that replicates the traditional gameplay experience while offering a user-friendly interface and smooth interaction. Connect Four is played on a vertical grid consisting of 7 columns and 6 rows, where players take turns dropping colored discs into the columns. The goal is to connect four discs of the same color either horizontally, vertically, or diagonally before the opponent. The implementation involves features such as real-time gameplay, win detection algorithms, and a reset option for new rounds. The game also incorporates artificial intelligence (AI) for single-player mode, enabling users to compete against a computer opponent with varying difficulty levels. The development leverages programming concepts such as data structures, arrays, and algorithms for efficient game logic and win-checking mechanisms. This project aims to enhance logical thinking and problem-solving skills while providing an engaging and interactive platform for entertainment. It is suitable for both beginners and experienced players, offering a fun and educational experienceItem Finance GPT(NHCE, 2024) Anselm Anthony Barretto1NH21CS029 Aneesha MC1NH21CS026 Abhishek Kumar1NH21IS214 Triparna K R1NH21IS169In the evolving landscape of personal finance management, integrating Artificial Intelligence (AI) has become pivotal for simplifying financial decision-making. This project, "Finance GPT: An Al-Driven Financial Companion," leverages cutting-edge technologies to provide intelligent, user-centric financial solutions. The system offers features such as monthly expense and income snapshots, Al-generated financial goals and strategies, and a personalized finance chatbot powered by user data. Built using Next.js and React for the frontend, MongoDB for backend storage, and OpenAl's models for Al-powered insights, the system ensures a fast, scalable, and interactive user experience. Redux Toolkit enables seamless state management, while Framer Motion enhances the UI with smooth, dynamic animations. The proposed system addresses limitations in existing financial management tools, such as limited personalization, static goal-setting, and data inefficiency. By providing tailored strategies and dynamic insights, the project empowers users to better manage their finances, reduce costs, and achieve financial goals efficiently. The architecture is modular, ensuring scalability, security, and maintainability. The application processes user inputs, stores financial data securely, and generates actionable insights in real-time. The interactive chatbot further enhances user experience by offering on-demand financial advice. In conclusion, this project delivers an Al-powered, efficient, and user-friendly platform, redefining personal finance management through advanced technology.Item Smart Farming - A crop recommendation system(NHCE, 2024) S Tharun Kumar Raju1NH21IS154 S Arshit Nandan1NH21IS165 GAJAVALLI VENKATA SAI SHYAM KUMAR1NH21CS083 DURUGADDA DATTA KALESWAR1NH21CS277A number of negative impacts in the agricultural sector have seemingly increased everywhere. These including, increased population, pollution, and deforestation have all had substantial negative effects on the climate and ecosystem of the planet. Given the existent climate, managing to yield the crops that farmers grow has become almost impossible. Agriculture is also one of specific sectors that are guaranteed to improve the economy of a nation, but it when it is said that the production of crops is not meeting the targeted output, it is literally evident as the availability of food in such a nation, is going to be affected. The estimation for agriculture as contained in a report of 2022-2023 is at 18.3 of the gross value added (GVA) derived from agriculture and related industries. It can be held, therefore, that the wealth of the country is mostly from the agronomic sector.Item Autonomous Vehicles(NHCE, 2024) Adithya M\1NH21IS006 Janardhan P1NH21IS068 DINESH .K1NH21EC048 DRUVA P1NH21EC053This project is to implement how do self-driving cars stay on the road? How do vehicles with autonomous or driver-assist features automatically brake, steer around obstacles, or perform tasks like adaptive cruise control? Experiment with these behaviors and more in this science project as you build and program your own autonomous Arduino robot. The project aims to demonstrate how Arduino can be used to create a cost effective and accessible platform for AV experimentation and development. It explores the various sensors and algorithms used for environment perception, including lidar, radar, cameras, and ultrasonic sensors. Decision-making algorithms, such as rule-based systems, machine learning, and deep learning. arediscussed in detail, along with their integration into AV control system experienceItem IOT based Smart Bin Monitoring System(NHCE, 2024) ISHITA DAYAL1NH21EC071 VAIBHAV KUMAR SHAH1NH21EC169 Mannat Atwal1NH21IS091 Krishna Kunal1NH21IS081The rapid urbanization and population growth in cities have intensified the challenges as-sociated with waste management. Traditional methods of waste collection, which rely on fixed schedules and routes, often result in inefficiencies such as overflowing bins, underuti-lized collection resources, and increased operational costs. The Smart Garbage Dustbin System offers an automated solution for efficient waste man-agement, focusing on waste segregation, energy estimation, and real-time monitoring. Us-ing a network of sensors-including moisture, gas, and ultrasonic sensors coupled with ESP8266, GPS, GSM, and Arduino, the system segregates waste into dry and wet categories, estimates the energy potential from organic waste, and monitors the fill level of the bin. The system data is transmitted to a central server using ESP8266 for display on a website, where users can monitor the bin's location and status in real-time. This paper comprehensively analyses the system design, hardware-software integration, and its application in smart waste management systems.Item TEACH CONNECT(NHCE, 2024) M.KETHANA CHOWDARY 1NH21CS156 M.V MAHIDHAR REDDY 1NH21CS147 MADUGULA SATHWIK ATHREYA1NH21IS084 PANKAJ KUMAR 1NH21IS107This project focuses on the development of a comprehensive Massive Open Online Course (MOOC) platform using HTML, CSS, and JavaScript. The platform is designed to provide users with an engaging and interactive online learning experience by integrating features such as user authentication, task management, calendar scheduling, video conferencing, chatbot interaction, and course materials organized for seamless accessibility. The primary objective is to create a user-centric application that caters to the diverse needs of learners and instructors in an online education ecosystem. The MOOC platform begins with a "Get Started" page that introduces users to the application. It transitions to a sign-in/sign-up page where user authentication is performed to ensure secure access. Validated users are redirected to the main page, which serves as the central hub for accessing various features. The To-Do List module allows users to manage tasks efficiently by adding, editing, and deleting them. The Calendar module provides a user-friendly interface for scheduling events and managing deadlines. A Video Conferencing feature enables real-time communication between instructors and students, facilitating interactive learning sessions. A Chatbot, powered by Dialog flow or custom JavaScript logic, is integrated to assist users by answering queries and providing guidance. Other features include an "About Us" page to share details about the platform and a Logout button for secure session termination.Item AI Powered Automated Assessment and Evaluation System(NHCE, 2024) HARSH AHUJA1NH21CS092 NIKHILA SUVEDA MALLA1NH21IS101 PENTELA DINESH TRILOK1NH21IS112 Siddharth pradeep1NH21CS231The Automated Evaluation and Assessment System (AEAS) is an innovative technology designed to modernize evaluation processes in educational institutions. By combining dynamic and static analysis methodologies, AEAS incorporates advanced techniques such as abstract syntax tree analysis, plagiarism detection, and adaptive learning models to give a comprehensive assessment platform. The system is based around three basic interfaces -Administrator, Instructor, and Student - interconnected by a scalable and flexible web server architecture. This modular design provides smooth integration across multiple academic environments while keeping flexibility to accommodate varied evaluation criteria. Key features of AEAS include real-time plagiarism detection, tailored learning pathways depending on students' CGPA, and automated grading of assignments and examinations. These functions aim to reduce manual tasks for instructors, provide fast and actionable feedback to students, and enhance the overall quality of education delivery.Item Healthcare chatbot(NHCE, 2024) DEEPAK PATEL1NH21CS067 ANKIT KUMAR KALWAR 1NH21CS028 YASIR HASAN DILAWAR1NH21IS189 AYUSH GAUTAM1NH21IS208Healthcare chatbots are changing the way patients and healthcare providers deliver medical information and services. These artificial intelligence (AI) powered systems are designed to imitate human conversations. It allows users to communicate with the bot via text or voice. The ability to provide immediate, personalized answers makes it especially useful in healthcare. This is where timely advice and information is often critical. Integrating natural language processing (NLP) and machine learning This allows healthcare chatbots to understand and respond to a wide range of medical questions. From the basics Health advice on more complex topics. One of the main benefits of healthcare chatbots is their availability. They can operate 24/7. This allows patients to access health counseling, triage, and even mental health support at any time of the day. This eliminates constraints associated with traditional healthcare settings, such as business hours or wait times. Healthcare chatbots also help reduce the burden on healthcare professionals by managing routine questions and administrative tasks.Item VisuAid - Guiding every step, Illuminating Every Word(NHCE, 2024) SAMHITHA CHAITHRA 1NH21IS133 SARAYU TOKALA 1NH21IS138 MEGHANA NANNURI 1NH21EC091 GUBBA NIHARIKA1NH21IS061VisuAid is an innovative and inclusive assistive solution designed to address the challenges faced by individuals with visual impairments. It utilizes advanced technologies in Computer Vision, Digital Image Processing, and Deep Learning to enable users to access written and digital content seamlessly and gain real-time insights into their surroundings. The application features real-time text recognition, object detection, and audio output capabilities, empowering users to navigate their environments independently and confidently. VisuAid also provides an idea of smart glasses to promote mobility and accessibility for visually impaired people. These advanced assistive technologies come with obstacle detection that alerts the user to near objects, staircase navigation to ensure the safe crossing of multi-level areas, and pothole detection to avoid accidents from irregular surface conditions. The smart glasses, with their primary emphasis on real-time functionality and user comfort, aim to fit seamlessly into every individual's daily routine without compromising on safety and convenience.Item Secure Scan(NHCE, 2024) MURSALEEN SHAFI1NH21CS162 EMADUDDIN ASDAQ 1NH21CS079 Sarim Farooq1NH21IS139 Sandep J G 1NH21IS135This project introduces a comprehensive, web-based platform aimed at simplifying the process of identifying and mitigating cybersecurity risks, making advanced security tools accessible to both technical and non-technical users. The platform integrates five essential tools: a Wi-Fi security scanner, SSL certificate checker, port scanner, file malware detector, and website vulnerability scanner, offering a holistic solution for evaluating digital safety. The Wi-Fi security scanner detects vulnerabilities in wireless networks, such as weak encryption or open access points, helping users enhance network security. The SSL certificate checker assesses website encryption standards, identifying issues like expired certificates or insecure configurations that could compromise data privacy. The port scanner identifies open or poorly secured ports, which could serve as entry points for malicious activity, while the file malware detector scans uploaded files for viruses, ransomware, and other harmful software. The website vulnerability scanner analyzes web applications for flaws like SQL injection or cross-site scripting (XSS), providing actionable insights for remediation. Designed with an intuitive interface, the platform streamlines complex security assessments and consolidates multiple functions into a single, easy-to-use application, reducing reliance on disparate tools. With a focus on modular development, the platform allows for scalability and continuous updates to address emerging cybersecurity threats. Beyond technological innovation, the platform emphasizes user empowerment by raising awareness of digital risks and promoting proactive protection, contributing to a safer digital ecosystem for individuals and organizations alike.Item Smart Agriculture using IOT(NHCE, 2024) DIWAKAR V 1NH21EC049 ABHISHEK N 1NH21EC006 PREETHAM HS1NH21IS120 KEERTHI K1NH21IS076Effective water use has grown in importance in recent years, especially in agriculture, where crop output is being negatively impacted by water scarcity. Conventional irrigation techniques frequently waste water by using more than is necessary. By offering automation and real-time monitoring, a Smart Irrigation System powered by the Internet of Things (IoT) can transform water management in order to overcome this difficulty. This system makes use of Internet of Things sensors that are positioned in agricultural areas, including temperature, humidity, and soil moisture sensors. These sensors gather information, which is then sent for analysis to a central control system or cloud-based platform. Based on real-time data, the system can then initiate irrigation activities, maximizing water consumption by ensuring that water is only applied when required. Additionally, farmers may monitor and manage the irrigation system remotely using a computer program or smartphone thanks to the loT-enabled technologyItem Real-time passenger information time(NHCE, 2024) ANVESH S RAI1NH21AI013 BHUVAN PETE L1NH21AI015 YASHAS K R1NH21IS186 Vishal R1NH21IS181An RTPIS is a sophisticated solution aimed at offering accurate, up-to-date information to passengers of public transportation systems such as buses, trains, trams, and metro services. It is a system that looks to improve the overall experience of passengers by offering them real-time information, allowing them to make informed decisions about their travel This is achieved by integrating GPS technology, sensors, and centralized data systems that work together in tracking the movement of vehicles and relaying information regarding arrival times, delays, route changes, and even traffic conditions. RTPIS eliminates uncertainty for passengers, and waiting times are reduced along with improving the reliability of public transportation services.Item Food Nutrition Tracker(NHCE, 2024) HARSHITH Y 1NH21IS190 UDAY KUMAR B1NH21IS206 KONDA SRIRAMA KRISHNA CHAITANYA1NH21CS288 SAGILI SREENATH REDDY 1NH21CS291The Food Nutrient Tracker project is an advanced dietary management system designed to empower users to monitor, analyze, and optimize their nutritional intake. By leveraging cutting-edge technologies such as API-driven data retrieval, machine learning algorithms, and user-centric design, the system provides a seamless and engaging platform for tracking daily food consumption. The primary objective of this project is to address the limitations of existing nutritional tracking systems, such as lack of personalization, limited regional food data, and poor integration with wearable devices. The Food Nutrient Tracker enables users to log meals using diverse methods, including manual entry, barcode scanning, and image recognition. The backend processes this data, retrieves detailed nutritional information through third-party APIs, and presents the analysis through interactive dashboards and visualizations. This ensures that users can easily understand their dietary patterns and make informed decisions. Machine learning algorithms enhance the system by delivering personalized dietary recommendations based on user-specific data, such as health goals, preferences, and historical trends.Item Personalized Learning Platform using Artificial Intelligence(NHCE, 2024) KURUVA SOWMYA1NH21CS142 DERANGULA SANKEERTHANA1NH21CS069 BASIREDDY KUSUMA REDDY1NH21IS199 D.Hema 1NH21IS193This project presents an Al-integrated platform designed to revolutionize personalized learning and career advancement. By leveraging artificial intelligence, the platform provides students with a tailored educational experience that bridges the gap between academic learning and professional success. The platform begins with an Al-based personality test to assess students' interests and strengths, generating a personalized roadmap with career paths and relevant job opportunities. It offers curated course suggestions aligned with industry demands, ensuring students gain the skills needed to excel in their chosen fields. Engaging multimedia content and interactive modules enhance the learning process. Courses include innovative assessments such as quizzes, scenario-based learning, and SC tests to evaluate knowledge and decision-making skills. Expert panel comparisons and Likert scales provide feedback and detailed evaluation. Upon completion, students receive performance-based certificates, validating their skills and boosting career prospects. By offering personalized learning pathways and certification, this platform empowers students to achieve their goals and builds a future-ready workforce equipped with industry-relevant skills.Item Multiple Desease Prediction using ML(NHCE, 2024) MUSAB1NH21AI133 Eesha Naveen 1NH21AI031 Vinay S1NH21IS177 Siddharth Kulkarni 1NH21IS151Many of the existing machine learning models for health care analysis are concentrating on one disease per analysis. Like one analysis if for diabetes analysis, one for cancer analysis, one for skin diseases like that. There is no common system where one analysis can perform more than one disease prediction. In this article proposing a system which used to predict multiple diseases by using Flask API. In this article used to analyse Diabetes analysis, Diabetes Retinopathy analysis, Heart disease and breast cancer analysis. Later other diseases like skin diseases, fever analysis and many more diseases can be included. To implement multiple disease analysis used machine learning algorithms, tensorflow and Flask API. Python pickling is used to save the model behaviour and python unpickling is used to load the pickle file whenever required. The importance of this article analysis in while analysing the diseases all the parameters which causes the disease is included so it possible to detect the maximum effects which the disease will cause. For example for diabetes analysis in many existing systems considered few parameters like age, sex, bmi, insulin, glucose, blood pressure, diabetes pedigree function, pregnancies, considered in addition to age, sex, bmi, insulin, glucose, blood pressure, diabetes pedigree function, pregnancies included serum creatinine, potassium, GlasgowComaScale, heart rate/pulse Rate, respiration rate, body temperature, low density lipoprotein (LDL), high density lipoprotein (HDL), TG (Triglycerides). Final models behaviour will be saved as python pickle file. Flask API is designed. When user accessing this API, the user has to send the parameters of the disease along with disease name. Flask API will invoke the corresponding model and returns the status of the patient. The importance of this analysis to analyse the maximum diseases, so that to monitor the patient's condition and warn the patients in advance to decrease mortality ratio.Item Rx Assist : Smart Disease Prediction and Drug Recommendation(NHCE, 2024) K. SAI DINESH 1NH21CS136 D. A. PRAJWAL 1NH21CS181 G. VIDYA SHANKAR1NH21IS202 B. BHARAT1NH21IS036Rx Assist represents a state-of-the-art healthcare solution aimed at improving medical decision-making and patient care through advanced machine learning techniques. This sophisticated system features two main components: disease prediction and drug recommendation. By evaluating patient data such as symptoms, age, and gender, Rx Assist employs various machine learning models, including Gaussian Naive Bayes, Random Forest, Logistic Regression, and Sklearn Decision Tree, to provide highly precise predictions. A distinctive aspect of the system is its majority voting mechanism, which effectively addresses complex symptom presentations and overlapping diseases, thereby enhancing diagnostic accuracy. The drug recommendation component utilizes a meticulously curated dataset along with machine learning algorithms to propose personalized medication options tailored to individual patient characteristics, including specific disease profiles. To further enhance user engagement, Rx Assist offers user-friendly interfaces for both patients and healthcare providers, featuring capabilities such as appointment scheduling, comprehensive access to patient data, and customized treatment plans. By addressing shortcomings in conventional healthcare systems, Rx Assist fosters effective communication between doctors and patients, ensures efficient healthcare delivery, and establishes a foundation for future developments in personalized medicine. This groundbreaking system not only enhances diagnostic precision and treatment results but also optimizes healthcare workflows, setting a new benchmark for intelligent healthcare solutionsItem Personalized Health Monitoring System(NHCE, 2024) JEFF JUDE1N21CS110 H S PRAJWAL BHARDWAJ 1NH21CS089 Aditya kumar 1NH21IS007 Arpit anand1NH21IS024Personalized Health Monitoring System is a state-of-the-art smart health wearable that seamlessly integrates into your daily routine, providing continuous monitoring of vital signs and activity levels. With its advanced sensors, Personalized Health Monitoring System tracks heart rate, sleep patterns, and physical activity, offering personalized insights and recommendations. The sleekandergonomicdesignensures comfort and style, making it ideal for all-day wear. Stay connected to your health with instant alerts and comprehensive analytics accessible through a user-friendly mobile app. Personalized Health Monitoring System empowers you to take control of your well-being, promoting a healthier and more balanced lifestyleItem OneIndi(NHCE, 2024) ADITYA SINGH1NH21IS009 SUBHADEEP DANDA 1NH21IS159 ARUSH GUPTA 1NH21EC022 SARTHAK SRIVASTAVA 1NH21EC140India, with its vast linguistic diversity encompassing 22 official languages and numerous dialects, often encounters significant communication challenges. These barriers impede access to education, employment, and essential services for millions. To address these issues, Onelndi emerges as an innovative platform providing real-time translation tailored to Indian languages. By harnessing advanced technologies, Oneindi bridges communication gaps, fostering inclusivity and enabling individuals to participate meaningfully in various aspects of life. Oneindi facilitates translations across multiple formats, including text, voice, documents, and images. Its advanced translation engine, built on sophisticated machine learning algorithms and natural language processing, ensures accurate and culturally relevant translations. Designed to capture the nuances of Indian languages, the platform supports a wide range of languages such as Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, Kannada, Malayalam, Punjabi, and Urdu, catering to a diverse user base.Item Personalized Virtual Teacher(NHCE, 2024) Bharath L1NH22IS401 Chandramouli K P1NH22IS403 Kommalapati Pavan Kumar 1NH22CS408 Abhishek1NH22CS400The academic management system developed using Django, Python, HTML, CSS, and JavaScript is an advanced platform that aims to address the challenges of managing educational institutions. It serves as an all-encompassing solution, designed to streamline and automate the workflows of administrators, lecturers, and students. By integrating core features such as user authentication, course management, assessment handling, attendance tracking, and notifications, the platform ensures that stakeholders can collaborate and function seamlessly. The system's modular architecture and user-friendly interface make it a reliable and scalable solution for modern educational needs. Educational institutions often face significant hurdles in efficiently managing their operations. Traditional methods, reliant on paperwork or disconnected systems, are prone to inefficiencies, errors, and delays. This project tackles these challenges by providing a centralized platform where all essential academic and administrative functions are consolidated. Administrators can oversee and control user roles, courses, and institutional settings, while lecturers are empowered with tools for content delivery and evaluation. Students benefit from an intuitive interface that consolidates their academic resources, assignments, and progress in one place, enabling them to manage their responsibilities more effectively. User authentication and security lie at the heart of the system's design. The platform ensures that access to features is role-specific, preventing unauthorized operations. Administrators have control over the system's configurations, while lecturers can manage their courses and assessments, and students can only interact with their enrolled courses and personal information. Authentication is managed through secure password storage and encryption, ensuring that all user data remains protected. Furthermore, session management and role-based access provide an additional layer of security by tailoring functionalities to the specific needs of each user. The course management module is one of the most critical components of the platform. Administrators and lecturers