Our project is a multi-agent assistant for European public tenders that turns an RFP and a short company baseline into an actionable plan and a proposal draft. You provide an RFP link or file and complete a concise form with certifications, capabilities, financials, projects, and team skills. The system parses the RFP to identify deadlines, submission method and format, evaluation criteria and weights, eligibility requirements across legal, technical, and financial dimensions, mandatory attachments, and language constraints. It then compares those requirements to your baseline to produce a coverage matrix that marks items as covered, missing, or needs review, plus a focused to do list with evidence prompts. When coverage is sufficient, the writer agent generates Markdown sections such as Executive Summary, Technical Approach, Delivery and Timeline, and Quality and Risk, aligned to the scoring rubric and grounded in your capabilities. The MVP intentionally does not analyze existing proposal files; the goal is to minimize setup and guide teams to close gaps quickly. The architecture is modular and MCP compatible, so the same flow can run inside Coral or be exposed through simple APIs and a lightweight UI. Outputs can include anchors to source pages for easy verification and audit.

IntelliResearch AI is an advanced AI-powered research assistant designed to simplify and streamline the research process. It helps researchers, students, and professionals save time by automating repetitive and time-consuming tasks such as literature reviews, data extraction, and generating insights from large volumes of information. By analyzing academic papers, articles, and reports, IntelliResearch AI quickly identifies relevant information, highlights key findings, and provides structured summaries. It enhances productivity, reduces manual effort, and ensures more accurate and efficient research outcomes. This makes it an essential tool for anyone aiming to conduct thorough, data-driven, and high-quality research in less time.

SmartMail Assistant is an intelligent, AI-powered email automation tool designed to simplify and enhance your daily email workflow. From composing professional, tone-customized messages to translating content and refining grammar, the assistant ensures every email is clear, polite, and effective. It integrates with your calendar for automatic scheduling, attaches relevant files based on prompts, and even summarizes meeting notes. With multiple personas, memory-based template reuse, and success scoring, it adapts to your communication style and ensures consistency. Whether you're a student, professional, or recruiter, SmartMail Assistant helps you communicate better, faster, and smarter.

The Resume Builder App is an AI-powered web application developed using Next.js 15 and integrated with the GROQ API to automate the process of creating professional resumes. Users input basic personal and career information, and the GROQ API intelligently generates well-structured, visually appealing resumes using natural language generation and formatting capabilities. Key Features: 🔹 User-friendly form for personal, educational, and professional details 🔹 Real-time resume generation using GROQ LLM 🔹 Downloadable PDF export 🔹 Multiple resume templates and customization options 🔹 Mobile-responsive and SEO-optimized design 🔹 Fast rendering with the latest Next.js 15 App Router and React Server Components Ideal for students, job seekers, and professionals, this app simplifies resume creation with AI—eliminating the hassle of manual formatting while ensuring high-quality results.

We focused on London for PoC - cause it’s the most developed smart city with the network infrastracture. And from that point for development is great for One Replication Strategy The London Smart City Optimization project enhances urban infrastructure using AI, IoT, and cybersecurity. The focus areas include This initiative ensures London remains a sustainable, secure, and efficient smart city. Network.AI - 3 LLM Agents (which communicate to each other for gathering spec and automate documentation process (cyb1, net1, ene1) Network.Data - Algorithms for data science analysis, mostly free databases + kaggle (London, 2014y, 2021y) Network.Frontend - Promotional react app, which integrate agents + provide basic auth (firebase) Network.Backend - Analyse of different protocols, and communicating with frontend due to rapport generating

Space Mission Hub: Revolutionizing Space Exploration with AI-Powered Mission Management Introduction: The Space Agent is a groundbreaking, comprehensive AI-powered platform designed to revolutionize the planning, execution, and management of space missions. In an era where space exploration is becoming increasingly complex and ambitious, there is a critical need for advanced tools that can integrate various aspects of mission management while leveraging the power of artificial intelligence. The Space Mission Hub addresses this need by providing a unified interface that combines mission planning, data access, automation, resource management, and efficiency optimization into a single, powerful solution. Core Components: The Space Mission Hub consists of five primary modules, each designed to address crucial aspects of space mission management: 1. Mission Planner: The Mission Planner module serves as the cornerstone of the Space Mission Hub, providing a sophisticated environment for conceptualizing and detailing space missions. This module allows users to input mission objectives and constraints, forming the foundation upon which all other aspects of the mission are built. Key Features: a) Objective Definition: Users can articulate clear, concise mission objectives, which the AI system uses to guide all subsequent planning and decision-making processes.

EduNet Optimizer is an advanced network optimization and monitoring solution tailored for educational institutions. The platform offers a comprehensive dashboard that provides real-time statistics, predictive analytics, and performance insights to ensure smooth and efficient network operations. With features such as traffic monitoring, bandwidth optimization, and proactive issue detection, EduNet Optimizer empowers schools, colleges, and universities to create a reliable digital infrastructure. The system helps IT administrators make data-driven decisions, improve resource allocation, and enhance the overall learning experience by minimizing downtime and optimizing connectivity for students and faculty alike.

The AI Health Assistant is an intelligent, user-friendly solution designed to provide accurate health information, personalized advice, and instant responses to health-related queries. Built during the AI Hackathon, this project aims to bridge the gap between individuals and reliable health resources by leveraging advanced AI technologies. Key Features: Interactive Chat Interface: Engages users in a conversational format for a seamless experience. Symptom Checker: Analyzes symptoms provided by users and suggests possible causes. Personalized Health Tips: Offers customized recommendations for nutrition, exercise, and mental well-being based on user inputs. Multilingual Support: Ensures accessibility for diverse audiences across different regions. Data Accuracy: Uses verified medical databases to deliver trustworthy health insights. Technologies Used: Natural Language Processing (NLP): To interpret and respond effectively to user queries. Machine Learning: For improving recommendations and user interactions over time. React.js/Frontend Framework: For a user-friendly interface. Backend Framework (e.g., Node.js): To manage data flow and logic. Purpose: The AI Health Assistant was created to empower individuals with the knowledge and tools to make informed decisions about their health. By providing accurate and accessible information, it reduces the reliance on unreliable online sources and helps users take proactive steps toward healthier living. Future Scope: The project has immense potential for scalability, with plans to include: Integration with wearable health devices for real-time monitoring. Appointment scheduling with healthcare professionals. Advanced diagnostic tools powered by AI. This project is a step forward in utilizing AI to transform personal healthcare into a more accessible, accurate, and interactive experience.

TruthGuard is an innovative AI-powered system designed to combat the proliferation of fake news. Utilizing advanced natural language processing and machine learning, TruthGuard accurately identifies and flags potential misinformation. Key features include real-time analysis, high accuracy detection using the Llama-3 model, and a user-friendly interface for easy news verification. The system integrates powerful technologies like LlamaIndex for data integration and Milvus for efficient data storage and querying. Our approach fosters collaborative verification through the together.ai platform, ensuring transparency and reliability. TruthGuard aims to restore public trust in media, mitigate societal harm, and provide a comprehensive solution to the global fake news problem. Future enhancements will include multilingual support, automated monitoring, and seamless integration with social media platforms.

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👩‍💻Explore Vectara, the trusted platform for building innovative AI applications with advanced datasets. 🚀 One week of intensive online development with workshops and mentorship sessions! 🏆15,000 USD prize pool (including 7,000 USD in cash) with special prizes from LlamaIndex, Unstructured, Vectara, and Together.ai 🤝 Opportunities for networking with developers and startup enthusiasts. 💡 Create applications that help create a positive change in the world and drive impact! 🕵️Create Vectara account to be eligible for hackathon participation and fill out the application form to be accepted.