This document describes a college enquiry chatbot developed using API.ai (now known as Dialogflow). The chatbot is an Android application that allows students to get answers to their college-related queries without having to visit the college in person. It analyzes user queries using natural language processing and responds in text and audio format by integrating text-to-speech. The chatbot was built using Dialogflow to match user inputs with predefined intents and return appropriate responses from a database of FAQs. It aims to provide students with a convenient way to stay updated on college activities and information.
WEB APPLICATION FOR MATHEMATICS CLUB OF P.C.EIRJET Journal
This document describes a web application created for the Mathematics Club of Priyadarshini College of Engineering to enable various functions like electing club members, conducting tests, providing study materials, and holding virtual meetings. The application was designed to be a one-stop-shop for students preparing for competitive exams requiring math skills. It includes features like a chatbot, voting system, blog, study materials, online quizzes with face and voice recognition, certificate downloads, and a virtual meeting platform. The application aims to make the preparation process more organized and convenient by consolidating these necessary resources and functions into a single online system.
IRJET- NEEV: An Education Informational ChatbotIRJET Journal
The document describes the development of an educational chatbot named NEEV. NEEV uses machine learning algorithms and natural language processing to provide students with information about trending courses, guidance on course and college selection, and other educational resources. It was created to address the difficulties students face in keeping up with evolving areas of study and making informed decisions. NEEV is implemented as an Android application using the Dialogflow framework and Firebase database. It is trained using intents, entities, and fulfillment to understand user queries and respond appropriately. The goal of NEEV is to make educational information freely available to students anytime through an intelligent conversational interface.
The document describes a WhatsApp chatbot developed to provide career guidance and information to users. The chatbot was created using Twilio, Flask, and ngrok. It contains over 50 career roadmaps with details on how to become different professions and attached videos. Users can ask the chatbot questions about career options and it will respond with the appropriate roadmap and information to guide them. The chatbot aims to help users who are unsure about their career path by providing all relevant career information in an easy-to-understand format through WhatsApp messages and replies.
IRJET - Artificial Conversation Entity for an Educational InstituteIRJET Journal
1) The document describes the design and implementation of an artificial conversation entity or chatbot for an educational institute to address student, staff, and public queries.
2) The chatbot uses natural language processing techniques like tokenization and stemming to process user inputs and matches keywords to responses stored in a database. It also uses a deep neural network for improved response selection.
3) The chatbot is intended to provide information on topics like admissions, fees, scholarships, library facilities, hostels, canteens, sports events, placements to help students, staff, and the public without needing to visit the institute physically. This reduces workload and makes information easily accessible.
IRJET - Chat-Bot for College Information System using AIIRJET Journal
This document describes a proposed chatbot for a college information system using artificial intelligence. The chatbot would be developed using natural language processing and artificial intelligence algorithms to analyze user queries about the college and provide appropriate responses. It would allow students to get information about college admissions, programs, activities and more without having to visit the college in person. The proposed system would work as a web application that uses techniques like stemming, lemmatization and sentiment analysis to understand questions and return relevant answers using a graphical interface similar to a human conversation. The goal is for students to easily get updated on college information and activities through an online chatbot system.
IRJET - A Web-based College Enquiry Chatbot using .Net and DatasetIRJET Journal
This document describes the development of a web-based chatbot for college student inquiries using .NET and a dataset. The chatbot uses natural language processing techniques like bigrams and sentence similarity to match student questions to answers in its database. It allows students to remotely ask questions about topics like admissions, departments, and programs. An authorized administrator can modify answers as needed. The chatbot was created in .NET on Microsoft Visual Studio and links to a SQL dataset for responses. It provides a helpful resource for students to get college information without visiting campus.
COLLEGE ENQUIRY CHATBOT SYSTEM IN JAVASCRIPTIRJET Journal
This document describes the development of a college inquiry chatbot system using HTML, CSS, and JavaScript. The system provides students with information about admission requirements, courses, tuition fees, and more through a conversational chatbot interface. It was tested with various queries and provided accurate responses. Future work could improve the system with voice recognition and integrating it with the college's database. Overall, the chatbot was well-received by students and chatbots can benefit the education sector by providing timely information to students.
This document describes a career counseling chatbot that uses artificial intelligence and fuzzy logic. The chatbot aims to help students who have completed 10th and 12th grade by assessing their interests and aptitudes and recommending suitable career paths. It does this through a series of tests and matches answers to rules in its knowledge base to provide personalized career suggestions ranked by suitability. The chatbot interface allows users to explore options and receive customized reports to aid their decision making. The system is designed to mimic a one-on-one counseling session and help students identify careers that suit their strengths.
This document summarizes a project report for a chatbot application developed using PHP. The chatbot was created to answer student queries about university admissions and registration. It has an admin panel where responses can be added to common questions. The report discusses the problem of high call volumes during registration periods, and how the chatbot can help by providing information anytime. It also summarizes the chapters which describe the chatbot's features and the technologies used like HTML, CSS, JavaScript, PHP and MySQL.
Chat-Bot for College Management System using A.IIRJET Journal
This document discusses developing a chatbot for a college management system using artificial intelligence. It would analyze user queries about college activities and provide responses. Users could ask questions through the chatbot without going to the college in person. Natural language processing and sentiment analysis techniques would be used to understand questions and determine appropriate responses from the knowledge database. The proposed system would include user registration and login, categorizing questions, using AI algorithms to analyze questions and provide answers, and interfacing with a database to retrieve information.
This document describes a college enquiry chatbot project created by students under the guidance of an assistant professor. The chatbot is designed as a mobile application to answer student queries about college-related activities and information without needing to visit the college in-person. It uses artificial intelligence and machine learning techniques to analyze user questions and respond automatically. The document outlines the system design, implementation process, and future improvements that could enhance the linguistic and conversational abilities of the chatbot.
This document discusses the development of a chatbot using natural language processing (NLP) to provide information to users about Indian Railways. The chatbot is designed to answer common queries about train routes, fares, arrivals and departures. It uses NLP techniques like tokenization, stop word removal and intent classification to understand user queries. The chatbot architecture involves an NLP module that processes text input and classifies intent, which is then used to query the official Indian Railways API and return responses to the user. Algorithms like naïve bayes, recurrent neural networks, decision trees and SVM are used. The chatbot has the potential to replace physical railway inquiry counters and provide information to users in both English and
IRJET- Online Programming Assessment and Evaluation Platform in Education SystemIRJET Journal
The document describes an online programming assessment and evaluation platform for educational institutions. It proposes developing a system that allows HODs to assign batches to faculty, who can then create programming assignments and assessments with test cases. Students would access the system to complete assignments, which would be automatically compiled and evaluated. The system would provide performance feedback to students and reduce the effort of manual evaluation. It would be built with an Angular front-end and Spring Boot APIs backend, with compilation handled in the cloud. A chatbot is also proposed to help students with doubts. The system aims to make programming assessment more efficient and accessible while improving students' coding skills.
IRJET- Development of College Enquiry Chatbot using SnatchbotIRJET Journal
This document describes the development of a college enquiry chatbot using SnatchBot. The chatbot was developed to provide information to users about college activities and ease the workload of office staff. It uses natural language processing and a keyword matching algorithm to match user queries to responses from its knowledge base. If no match is found, the user is provided a default message. The chatbot has a user-friendly GUI and is accessible anytime via web. It also allows users to provide feedback if answers are invalid, which is sent to the admin for knowledge base updates.
IRJET - E-Assistant: An Interactive Bot for Banking Sector using NLP ProcessIRJET Journal
This document describes a proposed chatbot called E-Assistant that would be used in the banking sector to help customers complete tasks like opening accounts or applying for loans. It would use natural language processing to understand user queries and respond in text, speech, or visual form. The chatbot's architecture includes modules for context recognition, preprocessing text, intent classification, entity extraction, and context reset. The goal is to provide a helpful and user-friendly assistant to guide customers through banking processes.
The document describes the design of a chatbot using deep learning. It proposes using a neural network with multiple hidden layers to learn and process data for the chatbot. The chatbot is intended to be trained on any file based on the user's needs, making it generalized. It will also have text-to-speech conversion to make it more user-friendly. The chatbot is evaluated and achieved 98.24% accuracy in responding to questions within its training data.
IRJET- QUEZARD : Question Wizard using Machine Learning and Artificial Intell...IRJET Journal
The document describes a proposed system called QUEZARD that uses machine learning and artificial intelligence to generate questions from documents. It consists of an Android application to scan documents and extract text, a machine learning platform to analyze the text and generate possible questions, and a voice assistant to answer user questions. The system aims to help both students by providing practice questions and teachers by suggesting new questions to ask. It extracts key elements from sentences using part-of-speech tagging to form question-answer pairs from documents.
IRJET - Voice based E-Mail for Visually ChallengedIRJET Journal
This document describes a voice-based email system designed for visually impaired users. The system allows blind users to access email functions like sending, receiving, and reading emails using only voice commands without needing a keyboard, mouse, or screen reader. Key features include text-to-speech and speech-to-text functions to convert between voice and text. The proposed system aims to make email more accessible for visually impaired people by eliminating the need to remember keyboard shortcuts or rely on others to access emails. It could help about 250 million people with visual impairments globally who currently have difficulty using the internet and email.
The prime objective of “Hostel out pass application” is to create a full-fledged Android application which could help
the students to fill an out pass form and get approval from the consent staff and coordinators at one click. The form will be
approved finally by the parent also thus making sure that the student’s activity is brought to parents notice. This helps in avoiding
the problems which occur when carried out manually. It improves the efficiency of the system. It is a customized user-friendly
application for hostel students which provides out pass information. This project offers the user to enter the data through simple and interactive manner.
Android Based E-Learning Application Class-EIRJET Journal
The document describes an Android-based e-learning application called "Class-E" developed by undergraduate students. The application aims to provide a digital learning platform to support dynamic e-learning. It will have separate interfaces for administrators and students. Administrators can manage course content and tests on a web-based interface, while students access tutorials, tests and results on an Android application. The application is designed to make learning more interactive and accessible anywhere through mobile devices.
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TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
20CDE09- INFORMATION DESIGN
UNIT I INCEPTION OF INFORMATION DESIGN
Introduction and Definition
History of Information Design
Need of Information Design
Types of Information Design
Identifying audience
Defining the audience and their needs
Inclusivity and Visual impairment
Case study.
How to Manage Internal Notes in Odoo 17 POSCeline George
In this slide, we'll explore how to leverage internal notes within Odoo 17 POS to enhance communication and streamline operations. Internal notes provide a platform for staff to exchange crucial information regarding orders, customers, or specific tasks, all while remaining invisible to the customer. This fosters improved collaboration and ensures everyone on the team is on the same page.
A vernier caliper is a precision instrument used to measure dimensions with high accuracy. It can measure internal and external dimensions, as well as depths.
Here is a detailed description of its parts and how to use it.
A brand new catalog for the 2024 edition of IWISS. We have enriched our product range and have more innovations in electrician tools, plumbing tools, wire rope tools and banding tools. Let's explore together!
Conservation of Taksar through Economic RegenerationPriyankaKarn3
This was our 9th Sem Design Studio Project, introduced as Conservation of Taksar Bazar, Bhojpur, an ancient city famous for Taksar- Making Coins. Taksar Bazaar has a civilization of Newars shifted from Patan, with huge socio-economic and cultural significance having a settlement of about 300 years. But in the present scenario, Taksar Bazar has lost its charm and importance, due to various reasons like, migration, unemployment, shift of economic activities to Bhojpur and many more. The scenario was so pityful that when we went to make inventories, take survey and study the site, the people and the context, we barely found any youth of our age! Many houses were vacant, the earthquake devasted and ruined heritages.
Conservation of those heritages, ancient marvels,a nd history was in dire need, so we proposed the Conservation of Taksar through economic regeneration because the lack of economy was the main reason for the people to leave the settlement and the reason for the overall declination.
Encontro anual da comunidade Splunk, onde discutimos todas as novidades apresentadas na conferência anual da Spunk, a .conf24 realizada em junho deste ano em Las Vegas.
Neste vídeo, trago os pontos chave do encontro, como:
- AI Assistant para uso junto com a SPL
- SPL2 para uso em Data Pipelines
- Ingest Processor
- Enterprise Security 8.0 (Maior atualização deste seu release)
- Federated Analytics
- Integração com Cisco XDR e Cisto Talos
- E muito mais.
Deixo ainda, alguns links com relatórios e conteúdo interessantes que podem ajudar no esclarecimento dos produtos e funções.
https://www.splunk.com/en_us/campaigns/the-hidden-costs-of-downtime.html
https://www.splunk.com/en_us/pdfs/gated/ebooks/building-a-leading-observability-practice.pdf
https://www.splunk.com/en_us/pdfs/gated/ebooks/building-a-modern-security-program.pdf
Nosso grupo oficial da Splunk:
https://usergroups.splunk.com/sao-paulo-splunk-user-group/
Exploring Deep Learning Models for Image Recognition: A Comparative Reviewsipij
Image recognition, which comes under Artificial Intelligence (AI) is a critical aspect of computer vision,
enabling computers or other computing devices to identify and categorize objects within images. Among
numerous fields of life, food processing is an important area, in which image processing plays a vital role,
both for producers and consumers. This study focuses on the binary classification of strawberries, where
images are sorted into one of two categories. We Utilized a dataset of strawberry images for this study; we
aim to determine the effectiveness of different models in identifying whether an image contains
strawberries. This research has practical applications in fields such as agriculture and quality control. We
compared various popular deep learning models, including MobileNetV2, Convolutional Neural Networks
(CNN), and DenseNet121, for binary classification of strawberry images. The accuracy achieved by
MobileNetV2 is 96.7%, CNN is 99.8%, and DenseNet121 is 93.6%. Through rigorous testing and analysis,
our results demonstrate that CNN outperforms the other models in this task. In the future, the deep
learning models can be evaluated on a richer and larger number of images (datasets) for better/improved
results.
Software Engineering and Project Management - Introduction to Project ManagementPrakhyath Rai
Introduction to Project Management: Introduction, Project and Importance of Project Management, Contract Management, Activities Covered by Software Project Management, Plans, Methods and Methodologies, some ways of categorizing Software Projects, Stakeholders, Setting Objectives, Business Case, Project Success and Failure, Management and Management Control, Project Management life cycle, Traditional versus Modern Project Management Practices.