2023-24

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Now showing 1 - 20 of 47
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    Agripulse - Revolutioning Agriculture through Wireless Sensor Networks and Machine Learning
    (NHCE, 2023) Nikhil Kamate 1NH20IS094 Pinaki Sankar Matruprasad 1NH20IS109 Om Gawade 1NH21IS409 Vamsi Krishna Sai1NH20IS088
    The introduction of cutting-edge, intelligent medical equipment into the virtual doctor system is orchestrating a remarkable transformation within community healthcare. Research in the healthcare sector has unveiled promising developments in extending human lifespan. However, obtaining healthcare services in remote areas remains a formidable challenge as patients often have to endure long journeys for treatment
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    Arduino-Based Air Quality Monitoring Robot with ML Analysis
    (NHCE, 2023) SantoshReddy1NH20IS148 Yuktha S1NH20IS186 Darshini R1NH20IS040 Monisha R1NH20IS124
    As everyone is aware, many dangerous gasses are emitted from automobiles and industry, which can lead to a range of health issues such as lung cancer, asthma, and a range of heart-related complications, or even lead to premature death if the ambient pollution is severe
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    FlexOS – The OS of the Future
    (NHCE, 2023) Chinmaya C B1NH20IS036 Kamboji Akhliesh1NH20IS070 Karthik E1NH20IS071 Saket Kumar 1NH20IS145
    On a computer or other device, an operating system offers a platformfor the use of otherapplications and programs. However, it might be difficult for those with physical disabilitiesto use their devices, which support the current OS. It becomes quite challenging for themtonavigate the screen without having access to a mouse pointer.
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    Therapeutic System using Machine Learning
    (NHCE, 2023) Ashutosh Biswal1NH20IS019, Aakash Ranjan1NH20IS003 Aniket Dajee1NH20IS015 Metkari Nistha Srivastava1NH20IS098
    In the contemporary digital landscape, the synergy between technology and entertainment has transformed how we engage with music, leading to highly personalized experiences. Our project, the Therapeutic System based on Facial Emotions Recognition using Convolutional Neural Networks (CNNs), harnesses this synergy to enhance user engagement and satisfaction through intuitive music recommendations. By analyzing facial expressions in real-time, our system identifies users' emotional states and adjusts music recommendations dynamically. This innovative method addresses the shortcomings of traditional music recommendation systems, which often fail to consider the subtle influence of emotions on music preferences.
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    Innovation For Inclusive Living Sign Language Translator
    (NHCE, 2023) Abu Talib 1NH21IS400S A Nashaath1NH20IS174 Aastha Priya1NH20IS004 Shamael Hashm1NH20IS151
    Innovation For Inclusive Living Sign Language Translator
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    "Piracy Obliterator"
    (NHCE, 2023) Pranay Srinivasan KN INH20IS069 Prathiksha R K INH201Si18 Rayid Ahmed INH20IS129
    Movie piracy happens through numerous means, where camcorders and video cameras play a predominant role. Our area of specialization lies in understanding and examining the environment of theatres, human reaction time, filmmaker's requirements and proposing robust forensic watermarking techniques that can be employed to battle such movie piracy attacks, which takes place through camcorder reproduction
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    IOT BASED FACE RECOGNITION ROBOT
    (NHCE, 2023) Manoj P 1 NH20IS104 Pranshu I I 1NH20IS117Naveen Gowda1NH21IS408 TS Palgun Jain 1NH21 IS410
    IOT BASED FACE RECOGNITION ROBOT
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    “MastroWorkforce – Securing Workforce Efficiency with HCM Excellence”
    (NHCE, 2023) Rudwaj SK 1NH20IS139 Sakshith C Billava 1NH20IS146 Sudarshan B1NH20IS169 Shivaraj CM 1NH20IS155
    In the dynamic and security-sensitive landscape of modern security agencies, efficient management of human capital is paramount. This abstract introduces a cuttingedge Human Capital Management (HCM) software tailored specifically for security agencies. This software offers a comprehensive suite of features, encompassing employee data management, attendance tracking, payroll management, duty scheduling, and work hour monitoring. Data security remains paramount, and the application addresses this by integrating a robust in-house authentication system
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    CREDIT CARD SCORE PREDICTION
    (NHCE, 2023) CHIRAG M D A RITESH D SHIVKUMAR GOUD P NITHIN
    CREDIT CARD SCORE PREDICTION
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    CATTLE DISEASE PREDICTION USING MACHINE LEARNING
    (NHCE, 2023) M Parnika -1NH20IS082 Suraj Antony Raj A -1NH20IS173 T Pranay -1NH20IS176 K Harinath Reddy -1NH20IS193
    With the rapid development of big data and artificial intelligence, data analysis and mining are becoming more and more widely used in animal husbandry. In this system, a large number of multi-source cattle electronic medical record data are collected and used the data analysis and mining technology to realize the intelligent diagnosis system for cattle diseases
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    ChemCheck - An IoT based Device for Chemical Detection on Fruits and Vegetables
    (NHCE, 2023) Aishwarya D 1NH20IS008 Chandana Yuktha. S 1NH20IS030 Harshitha M1NH20IS058 Mamtha S 1NH20IS081
    Consumers’ growing concern for the safety of fruits and vegetables is driven by the potential health risks posed by harmful chemical residues, such as pesticides and heavy metals. Theproblem lies in the absence of accessible, real-time, and cost-effective solutions for individualsto assess the safety and quality of the produce they purchase. Existing methods, often limitedtoexpensive laboratory tests, are not practical for the average consumer. As a result, individualslack the means to make informed decisions about the safety of their food. This project aimstobridge this gap by developing a portable and user-friendly device that swiftly scans and analyzesfruits and vegetables, providing consumers with vital information on the safety of their producechoices. With the help of IoT sensors and embedded C programming, the project is beingbuilt.
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    “SKILL-QUEST: A Comprehensive System for Cluster Based Resume Evaluation and Ranking Using LLM”
    (NHCE, 2023) A NAVEEN 1NH20IS001 CHETHAN A S 1NH20IS035 HEMSAGAR N M 1NH20IS062 HRITHIK U 1NH20IS063
    Navigating the dynamic landscape of today's employment market to identify suitable opportunities can be challenging. The advent of AI has empowered candidates to be ranked for a job role processed by computers. While conventional methods can quantify certain elements of positions and applicants, the conversion of unstructured data from job descriptions and resumes often leads to the loss of crucial information.
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    Deep Learning Agent For Traffic Signal Contro
    (NHCE, 2023) Praneeth Sanapala 1NH201S114 Punith C 1NH201S122 RahulG 1NH201S127 Rohith Rajendran 1NH201S136
    Getting stuck in traffic is a big headache in cities, causing delays and making everyone grumpy. Regular traffic lights try to help, but they have limits. The smart traffic lights, supercharged with Artificial Intelligence and Machine Learning, ready to transform how we get around. We will dive into the implementation of these intelligent systems, highlighting their benefits such as optimized traffic flow, reduced travel times, and improved fuel efficiency, all driven by the adaptive capabilities of AI and ML algorithms. Our project will address the hurdles of seamlessly integrating AI and ML into existing urban infrastructure, touching on issues such as data security and the coordination of diverse transportation modes.
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    “Harmony in Wild”
    (NHCE, 2023) M MOHAMED KHALID 1NH20IS080, ROHAN NAGARKATTE 1NH20IS134, MUHAMMED SHAREEF 1NH20IS090, LOKESH PRASAD 1NH20IS078
    Forests, one of the Earth's vital ecosystems, are grappling with significant challenges, including wildlife extinction, conflicts between animals and humans, and issues such as trespassing hunters, human-wildlife vehicle encounters, and pilgrims going missing due to animal attacks. These problems not only threaten biodiversity but also endanger human lives and livelihoods. Addressing these challenges promptly is of paramount importance. The major project is centered on providing a solution by monitoring the movements of humans and animals to prevent them from encroaching on each other's territories.
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    “Gesture Guided Interaction using CNN”
    (NHCE, 2023) Siddharth Singh 1NH20IS163 Yukthaa A Shreeniwas 1NH20IS187 Samit Mohan 1NH20IS147 Rishabh Preethan 1NH20IS131
    This research introduces an innovative Gesture Guided Model (GGM) designed to significantly enhance accuracy and efficiency in sign language interpretation. Hearing impaired people and the deaf community use sign language as their only means of communication.
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    SHOOT I SMOKE
    (NHCE, 2023) Rovin Thomas James 1NH20IS138 Dharmik N Shetty 1NH20IS043 Rishikesh S Panicker 1NH20IS132 Sneha Sudheer K 1NH20IS166
    Rapid urbanization and industrialization have led to a critical global concern: deteriorating air quality. This project addresses the urgent need for heightened air quality awareness as pollutants increasingly endanger public health. It comprehensively explores the issue's purpose, significance, and the imperative for effective communication. In an era of unprecedented urban growth and industrial expansion, the air we rely on gets saturated with hazardous substances.
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    “INTEGRATED MULTI-SENSOR FIRE CLASSIFICATION AND OPTIMAL EXTINGUISHMENT ANALYSIS”
    (NHCE, 2023) AMOGH BHARADHWAJ - 1NH20IS014 NIRANJAN GOWDA – 1NH20IS096 NISHAM AHAMED – 1NH20IS097 NITIN APPAR – 1NH20IS100
    For any fire to be sustained there are three primary components that need to be maintained: fuel, heat and oxygen. If any of these components are missing, the fire will diminish and eventually extinguish. While heat and oxygen are straightforward elements, fuel can exist in various forms and depending the material’s state and composition (e.g., wood, petrol, propane, lithium etc.). Depending on the material, fires are categorized into 6 classes (Class A through F), and each class requires a different type of fire extinguisher or a combination of multiple fire retardants.
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    Wildlife Safety Software Using CNN
    (NHCE, 2023) Akshitha R INH20IS012 Hemashree R INH201S061 Shraddha H.Kamath INH211S414 Subhajit Dhara INH19IS164
    In forest zone agricultural fields humans and animal conflict is a major problem where large number of crops is lost and farmers life is in danger. Because of this farmer lose their crops, farmequipment, andsometimes farmers live. So this zone is to be watched continuously to protect the agricultural field fromthe entry of wild animals. With regard to this problem, we have developed the system which will monitor the field. That is at first it will detect intrusion around the field using camera system capture the image if there is an unauthorized entry and classifying them using image processing and then takes suitable actionby detecting the type of the intruder. Finally sends notification to farm owner and forest officials using message.
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    “LOST-O-FOUND : DEMENTIA CARE”
    (NHCE, 2023) Keerthana S 1NH20IS072 Na Jayapriya 1NH20IS091 Nikhitha P 1NH20IS095 Nithya Santhoshini N 1NH20IS099
    This project proposes the creation of a mobile app designed to tackle the issue of physical inactivity among dementia patients, especially those diagnosed with early or mild stages of Alzheimer's. Extended periods of being sedentary at home combined with cognitive decline often result in depression and worsening memory due to decreased blood flow to the brain. To combat these effects, the app offers a platform to suggest low-intensity indoor exercises to keep patients physically active.
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    "Smart Aquarium"
    (NHCE, 2023) Akash S INH201SO10 Aruna K INH20ISO17 Ellury Sai Vamshi Krishna INH201S048 Harshitha NM INH20ISO59
    In intensive aquaculture, the real-time detection and monitoring of common infectious disease is an important basis for scientific fish epidemic prevention strategies that can effectively reduce fish mortality and economic loss. However, low-quality underwater images and low-identification targets present great challenges to diseased fish detection. To overcome these challenges, this paper proposes a diseased fish detection model, using an YOLOV5 network for aquaculture.