This project uses a simulation model to enhance court management efficiency in Pakistan, focusing on reducing delays and backlogs. It employs the DMAIC methodology, integrating operations research and data analytics for workflow improvements, leveraging Google Cloud technology.

The presentation outlines SAHAY's objectives of explaining legal rights, providing legal options, and predicting outcomes. It details the use of NLP, conversational AI, and machine learning, covering the implementation process from data collection to deployment.

This presentation provides an overview of Google Cloud AI/ML services, emphasizing the Vertex AI platform and its components like Vertex AI Studio and Agent Builder. It covers generative AI, AutoML, MLOps, and key APIs for speech-to-text, NLP, and translation.

This presentation explores technology's role in judicial reforms, focusing on the DAKSH Society's efforts to improve judicial efficiency through research and data analytics. It highlights AI-based legal assistants and the benefits of Google Cloud services for scalability and data security.

This presentation addresses inefficiencies in Pakistan's high courts using simulation modeling. It focuses on resolving bottlenecks and optimizing processes with operations research, data analytics, and multifaceted solutions involving conceptual and technological improvements.

Introduction to machine learning, distinguishing it from traditional programming. Explains supervised, unsupervised, and reinforcement learning with examples like facial recognition and recommendation engines. Highlights key methods like classification, regression, and clustering

Overview of Google Cloud's core infrastructure: compute services, storage, big data, AI/ML, networking, and security. Highlights the advantages of its scalable, secure infrastructure for businesses and developers. Discusses tools for building, deploying, and managing applications globally.

Overview of Google Cloud Storage services, including Object Storage, Filestore, Cloud SQL, and Cloud Spanner. Discusses applications and benefits, especially for an AI-based legal chatbot project. Key features of Cloud Bigtable, Datastore, Cloud Memorystore, and Cloud Firestore are also covered.

This presentation explains the comprehensive suite of AI and ML tools offered by Google Cloud, covering everything from the AI Platform and AutoML to Vertex AI and BigQuery ML. Key features and industry applications in  healthcare ,retail  finance

This presentation explains implementation of AI and ML within the justice system through the Insafdaar project. This includes  automated legal document analysis real-time data analytics predictive modeling for judicial processe  demonstrating AI's transformative impact on legal practices.

This presentation includes the  Google Cloud's robust infrastructure for AI and ML, including services like Google Kubernetes Engine, Compute Engine, and TPU. It emphasizes the complete AI/ML lifecycle support, from data preparation to deployment, and highlights various APIs and pre-trained models.

This presentation details a case study of Praktika.ai, an Android app that leverages generative AI for text-to-speech (TTS) and speech-to-text (STT) functionalities. It explores the app's effectiveness in enhancing language learning through Generative and conversational AI, backed by data collected from user reviews and technical evaluations.