Create conversational interfaces for websites, apps, and devices.

Analyze and understand text data.

Comprehensive AI platform for building, deploying, and scaling ML models.

Translate audio in real-time.

Translate text between different languages.

An overview of Video AI technology, its key applications, and its impact on industries such as security, healthcare, and retail. 

Understand and interpret ML model predictions

Build custom machine learning models with minimal coding

Enhance customer service with virtual agents.

This presentation provides a brief overview of key Google products, including Google Search, Gmail, Google Drive, Google Docs, Google Calendar, Google Maps, and YouTube. We'll explore how these tools enhance productivity, streamline communication, and offer entertainment. 

Deliver personalized recommendations to users.

Robust machine learning framework for enterprise use.

Intelligent search solutions for enterprise data.

Extract and process data from documents automatically.

Convert text into natural-sounding speech.

Specialized hardware for accelerating machine learning tasks.

Case management involves structured processes to analyze, implement, and evaluate business strategies to enhance organizational performance. We learned that effective case management improves business performance by increasing market share, reducing costs, and boosting employee satisfaction.

A collaborative initiative by IIT Delhi and DAKSH Society to integrate technology and data analytics in the legal system, aiming to enhance efficiency, transparency, and accessibility of judicial processes. We learned the importance of integrating technology into the legal system to improve judicial efficiency and user experience.

This presentation outlines the steps to create a law assistance chatbot using AI, including defining objectives, preparing data, selecting a model, designing conversation flow, developing, training, testing, and deployment. We learned the systematic process of developing a chatbot to provide legal assistance effectively.

Check bouncing, also known as check fraud or nonsufficient funds (NSF), happens when there are not enough funds in the account to cover the amount of a check. It can result in financial losses for individuals and businesses. We learned various reasons for check bouncing and solutions to prevent it, such as verifying account balances, using online banking, and considering digital payment alternatives.

The DAKSH Centre of Excellence (CoE) for Law and Technology at IIT Delhi is an interdisciplinary research center established to bridge the gap between legal studies and technology, addressing legal challenges posed by emerging technologies and promoting evidence-based policy decisions. We learned how the center integrates data science, cybersecurity, and technology to improve legal research, case prediction, and access to justice

Heuristic evaluation is a usability inspection method where experts review a user interface to identify problems based on established usability principles. We learned how this method enhances user experience by addressing issues like system feedback, user control, and error prevention.

Effective UI/UX evaluation is crucial for creating user-friendly digital products. This presentation explores key principles and methodologies of UI/UX testing to assess and improve design usability. We learned that usability testing identifies user pain points, enhances user experience, and reduces development costs.

UI/UX evaluation systematically assesses user interface design and user experience to ensure products are intuitive, efficient, and delightful for users. We learned that usability testing involves observing users perform tasks to uncover issues and improve the design, enhancing user satisfaction and product success.

This presentation focuses on evaluating and improving the user interface (UI) and user experience (UX) of the Daksh Law and Technology Center’s website to enhance usability, visual appeal, and accessibility. We learned the importance of simplifying navigation, improving visual design, adding interactive elements, and ensuring accessibility for a better user experience

YourMunshi is an AI-based legal assistant designed to provide comprehensive legal guidance and support within Pakistan’s legal framework, assisting with legal research, document preparation, case analysis, and compliance advice. We learned how AI can efficiently and accurately offer legal solutions while noting areas for improvement such as adding world knowledge and voice assistance.

This presentation outlines a project aimed at helping citizens during natural disasters. It involves three steps: using AI tools to indicate impending disasters, implementing measures to reduce their impact, and deploying AI-based tools for rescue operations. We have learned the importance of early warning systems, effective disaster mitigation strategies, and advanced rescue technologies to protect and aid affected communities.

 This presentation discusses frameworks and strategies for smart city development, focusing on sustainable and clean infrastructure. It covers energy system modeling, urban resilience, waste management, and mobility planning. We've learned about the importance of digitalization, climate change adaptation, and the use of IoT and data analytics in urban planning to create resilient and efficient future cities.

This presentation explains the Internet of Things (IoT), highlighting its definition, how it works, and its applications in areas like smart homes, healthcare, and transportation. We learned about the benefits of IoT, including increased efficiency and convenience, as well as challenges like security and interoperability. The future of IoT promises even more innovation with advancements in AI, 5G, and edge computing.

This presentation covers the Intelligent Field Robotics Lab's focus on developing autonomous, advanced robotic systems for various industries. It includes research areas like AI integration, human-robot interaction, and autonomous vehicles. We've learned about the potential of robots to enhance efficiency and safety, tackle real-world challenges, and the importance of interdisciplinary collaboration to innovate and improve quality of life.

This presentation by Memoona Masood covers intelligent biomedical applications that use AI and machine learning to improve patient care, diagnostic accuracy, and healthcare processes. Key technologies include medical imaging, telemedicine, and robotic surgery. We learned how AI enhances healthcare efficiency and the future potential of integrating advanced computational techniques for better health outcomes.

This presentation by Muhammad Hashaam Hayder outlines the process of training ChatGPT, especially on legal data. It includes steps like data preparation, tokenization, model configuration, and training, along with evaluation metrics. We learned how to preprocess and encode data, configure models, and fine-tune ChatGPT to perform well in generating coherent, relevant legal information and answers.

This presentation by Ans Ali explores deep neural networks and their impact on AI. It covers the fundamentals of neural networks, including CNNs, RNNs, and GANs, and their applications in areas like computer vision, natural language processing, and speech recognition. We learned about optimization techniques, future trends, and challenges, such as interpretability and data efficiency, highlighting the transformative power and potenti

 This presentation explains computer vision, a field of AI focused on acquiring, processing, and understanding images. It discusses methods like image acquisition, preprocessing, and feature extraction, as well as applications such as face recognition, object detection, and traffic monitoring. We learned how computer vision aims to replicate human visual capabilities and the ease of feature extraction with deep learning.

This presentation evaluates the usability of Amazon Alexa using the System Usability Scale (SUS) and introduces a new Voice Usability Scale (VUS) tailored for voice-based systems. The study involved 62 participants and used Exploratory Factor Analysis (EFA) to validate VUS, addressing the limitations of SUS in capturing voice interaction nuances. The results highlight the importance of recognizing unique usability challenges in voice assistants and suggest adopting VUS for more accurate assessments.

This presentation explores ChatGPT, an advanced AI technology that generates natural language responses. It covers its applications in various fields, including natural language processing, customer service, and content creation. The analysis includes ChatGPT's benefits, limitations, and impact on sectors like academics, cybersecurity, and software development. Additionally, it discusses how ChatGPT assists in solving math problems, predicting outcomes, and offering solutions across diverse fields.

This presentation explores Buoy Health, an AI-powered symptom checker designed to help users evaluate their health concerns. It discusses the tool's objectives, such as increasing accessibility, empowering users, and providing accurate health recommendations. The analysis includes challenges like diagnosis accuracy, user misinterpretation, and data privacy, along with proposed solutions. The study emphasizes Buoy Health's potential to reduce healthcare anxiety and the need for ongoing research into AI-powered health tools

 This presentation evaluates the accuracy of various AI tools, including Bard, Bing Chat, ChatGPT, Chatsonic, and Perplexity AI, in solving accounting problems. The study assesses these tools across different accounting courses, focusing on criteria like principles, procedure appropriateness, and solution accuracy. Results indicate that while some tools meet expectations, others require further refinement. The analysis highlights the potential and challenges of AI in accounting education, emphasizing the need for ongoing improvements in AI accuracy

 This presentation evaluates Google's Gemini Framework, a multimodal AI that integrates text, speech, and visual imagery. It explores Gemini's development, prompting strategies, and model prototypes like Gemini Pro, Nano, and Ultra. Performance analysis highlights strengths in tasks like image generation and coding, while questioning claims of superiority compared to other models like GPT-4. The study emphasizes the need for further evaluation and transparency in assessing Gemini's true capabilitie

This presentation discusses Large Language Models (LLMs) like GPT and BERT, which are AI systems designed to understand and generate human language. It covers their core components, such as training on massive datasets and utilizing neural networks, and explores applications in content creation, customer support, and data analysis. Additionally, it addresses the challenges faced by LLMs, including bias, computational complexity, and data privacy concerns.

This presentation examines the rise of AI-powered chatbots and contrasts them with traditional human-based customer support. It highlights the advantages of AI chatbots, such as speed, scalability, and cost-effectiveness, while also addressing their limitations like limited emotional intelligence and context understanding. The presentation also discusses best practices for integrating AI chatbots with human support and explores the future of AI in customer service, emphasizing expanded capabilities and deeper personalization.

This presentation explores AI-powered chatbots that recognize, interpret, and respond to human emotions, aiming to create empathetic and effective interactions. It covers emotion detection techniques, adaptive response mechanisms, and applications in healthcare, customer service, and education. The presentation also addresses challenges like data scarcity and ethical concerns, while highlighting the future potential of these emotionally intelligent systems in various domains.

This document details the process of developing a chatbot using a dataset containing sections of the Indian Penal Code (IPC). It includes tasks such as loading the dataset, performing data preprocessing, and designing a neural network architecture. The chatbot is designed to retrieve IPC sections based on keywords, provide detailed information, and respond to user prompts. The solution involves training the model and implementing basic conversational capabilities.

This presentation explores the use of Google APIs to translate and process Urdu language queries. It covers the basics of APIs, specifically Google APIs, and explains how they are used to translate English to Urdu using the Google Cloud Translation API. The presentation also discusses AI operations like Natural Language Understanding and Answer Generation, and the challenges faced, such as translation accuracy and producing natural-sounding Urdu voice output.

This presentation by Muhammad Subhan Furjam outlines the use of Google APIs to process and respond to Urdu language queries. It explains how Google’s Speech-to-Text API converts spoken Urdu into text, which is then translated into English using Google Translate API. Various AI models like GPT, BERT, and others analyze the translated text to generate answers. Finally, the text is translated back into Urdu and converted into spoken words using the Text-to-Speech API, tailored to Pakistani dialects.

This presentation details the workflow and principles of a Case Management System in law, focusing on how legal professionals manage cases from start to resolution. It outlines steps such as case intake, evaluation, planning, and monitoring, along with time calculations for each step. The presentation emphasizes the importance of effective case management in ensuring efficiency, compliance, and client satisfaction, supported by a structured workflow and clear documentation.

This presentation by Obaidullah Miakhil explores the use of Google Cloud Translation and Speech APIs for translating Urdu to English and providing responses in spoken Urdu. It outlines a step-by-step workflow, from voice input to AI processing and voice output. The presentation also discusses challenges such as translation accuracy, dialect specificity, and AI integration, emphasizing the need for refining translations and enhancing dialect support for better user experiences.

This presentation by Saifullah explores the concept of workflow modeling, focusing on its importance in visualizing and improving business processes. It covers key components like tasks, events, and actors, and demonstrates the use of tools such as BPMN and flowcharts. A detailed example of a student admission process is provided, including time estimations for each step, highlighting the efficiency gained through workflow modeling. The presentation emphasizes the benefits of clarity, collaboration, and the potential for automation in workflow processes.

This document details the modification of a workflow modeling assignment, specifically adding the time required for each step in the process. The total calculated time required to complete the workflow is 57.2 hours, demonstrating a structured approach to time management and efficiency in task completion.

This presentation by Muhammad Tayyaab Ansari covers the fundamentals of workflow modeling, emphasizing its role in visualizing and improving business processes. It introduces key concepts such as tasks, events, and gateways, and demonstrates tools like BPMN and flowcharts. An example of a student admission process is detailed, including time estimations for various scenarios, highlighting the importance of workflow modeling in planning, resource allocation, and efficiency. The presentation concludes with a comparison of best and worst-case scenarios in process completion time

This presentation by Muhammad Hashaam Hayder outlines the architecture and process of using Google APIs to answer questions in Urdu via Google Assistant. The workflow includes translating Urdu questions to English, finding answers using the Google Knowledge Graph API, and converting the answers back to Urdu audio with the Text-to-Speech API. The presentation details the software tools used, including Google Cloud Functions, Translate API, and the Google Assistant SDK, to facilitate seamless user interaction in Urdu