SmartFit is an AI-powered recruitment platform that automates the entire candidate evaluation process using two advanced Opus workflows integrated with a clean React Vite frontend. It focuses on solving the biggest challenges in hiring messy resume formats, inconsistent evaluations, bias, and slow decision-making by converting unstructured documents into structured, explainable, and actionable insights. The system begins by extracting detailed information from both candidate CVs and job descriptions, no matter the format: PDFs, DOCX files, images, screenshots, or plain text. Using a combination of OCR, semantic parsing, and AI agents, SmartFit generates structured profiles that include skills, experience, education, projects, responsibilities, and more. This enables reliable comparison between candidates and job requirements. Once the data is extracted, SmartFit applies a hybrid scoring engine that mixes rule-based validations with deep AI reasoning. It scores each candidate across multiple dimensions such as skills, experience relevance, education alignment, language proficiency, and cultural fit. The output is a transparent, auditable evaluation report that explains exactly how each score was calculated and which rules were triggered. The second workflow performs semantic job matching, identifying which skills the candidate already possesses, which are missing, and which are extra strengths. It also generates personalized recommendations that candidates or HR teams can use to improve CVs, prepare for interviews, or shortlist talent more confidently. The frontend ties everything together by offering an easy interface where users can upload documents, run workflows, and instantly view structured outputs, scores, fits, and recommendations. SmartFit ultimately reduces HR workload, improves accuracy, and brings transparency and fairness to the hiring pipeline. It is built for scalability and designed to handle real-world hiring scenarios.

This project is an AI-powered Multi-Agent Research and Opportunity Matching System designed to connect students, researchers, and startup founders with the most relevant opportunities worldwide. Instead of spending hours browsing different platforms for scholarships, grants, or startup funding, the system automates the entire process through multi-agent collaboration and intelligent data matching. It collects fresh information from trusted websites using web scraping, structures the data into clean formats, and matches it to user profiles based on academic background, research interests, or startup goals. The system has specialized AI agents with distinct focus areas. The Research Agent helps students by matching them with scholarships, fellowships, and exchange programs that fit their CGPA, degree level, and financial needs. The Innovation Agent supports researchers by identifying grants, collaborations, and fellowships aligned with their domains and project ambitions. The Startup Agent caters to founders and entrepreneurs, connecting them with startup grants, accelerators, and funding opportunities suited to their business domain and stage. It also employs natural language processing with LLaMA models, which explain opportunities in clear, student-friendly terms. A responsive interface built with Streamlit ensures smooth interaction, allowing users to explore personalized recommendations presented with match scores and reasoning on why each opportunity is a good fit. By combining automation, AI-powered matching, and multi-agent collaboration, this system offers a scalable solution that democratizes access to global opportunities. It empowers students to reduce financial burdens, researchers to accelerate innovation, and founders to access funding networks through a single intelligent gateway.

Personalized TutorBot is an AI-powered multi-agent educational assistant designed to make AI and programming learning accessible, engaging, and personalized. Built using Blackbox-powered LLMs, FastAPI, and React, TutorBot intelligently guides learners through a customized journey via a chatbot interface. The system begins by understanding user goals and skill levels through natural conversation. Based on this, it dynamically generates personalized roadmaps, tailored tutorials, hands-on coding exercises, and intelligent code reviews—adapting in real time to learner progress. TutorBot includes key components like secure user authentication, an intuitive chatbot UI, an AI roadmap agent for goal-based planning, a tutorial agent delivering daily lessons, and a coding exercise agent that adjusts challenge levels. An integrated Replit-based IDE allows learners to code and test within the platform. The review agent offers instant, context-aware feedback on submitted code. All progress is tracked through a visual dashboard, helping users monitor their growth. With zero cost, zero setup time, and 100% personalized learning, TutorBot breaks financial and geographic barriers, scaling easily to serve thousands. Future enhancements include voice support for accessibility, gamified learning with XP and leaderboards, and an AI progress coach to offer proactive feedback and learning path adjustments—redefining how AI and coding education is delivered.

Auto-DevOps Agent is an AI-powered automation system designed to simplify and accelerate the setup of CI/CD pipelines for developers. Built for hackathons and real-world projects alike, it leverages a multi-agent architecture where each agent performs a specific DevOps task—detecting the tech stack, generating test/build/deploy steps, and combining them into a valid GitHub Actions YAML workflow. It also provides easy-to-understand explanations for each CI/CD step, enabling developers to learn while automating. The system supports various project types such as Python, Node.js, and Java, and is designed to eliminate the manual, error-prone work often required when configuring CI/CD tools. The agents communicate using structured prompts and are powered by LLMs via the Groq-hosted OpenAI SDK using the LLaMA 3.1-8B model. The full stack includes: Frontend: React.js (for user interaction and input handling) Backend: FastAPI (serving the AI agents and managing request logic) Agents: AI multi-agent system using prompt engineering and OpenAI SDK CI/CD Output: GitHub Actions YAML configuration Optional Extensions: Docker, GitHub Secrets, and platform deployment integrations The current version generates test, build, and deploy pipeline steps. Future enhancements will include direct deployment to platforms like Railway, Streamlit, Vercel, and Render, along with automated GitHub secret management and full repository initialization. This makes Auto-DevOps Agent an ideal solution for developers, students, and teams aiming to streamline DevOps without needing deep YAML or DevOps knowledge.

ReplyMate AI leverages advanced Natural Language Processing (NLP) and machine learning to offer users secure and intelligent conversations. It helps identify potential fraud attempts, ensuring a safer messaging experience on WhatsApp. Built for businesses and individuals, ReplyMate is the go-to tool for fraud prevention and efficient chat automation." Fraud Detection: Identifies suspicious activity and alerts users to potential phishing or scam messages. Smart Replies: Provides contextually relevant and accurate responses to improve user engagement. Real-Time Alerts: Instantly notifies users of fraudulent activities or scams. Security Focused: Ensures that sensitive user data is never compromised during interactions. WhatsApp Integration: Seamlessly integrates with WhatsApp for easy communication and use. Error Handling: Identifies and manages errors gracefully, ensuring the chatbot remains effective even in complex conversations.

𝗦𝗣𝗢𝗧 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 is an AI-powered network resilience platform that revolutionizes 𝗽𝘂𝗯𝗹𝗶𝗰 𝘀𝗲𝗰𝘁𝗼𝗿 infrastructure by harnessing cutting-edge AI solutions to drive predictive maintenance, real-time monitoring, and intelligent routing. Our platform addresses critical 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 such as reactive maintenance, inefficient resource allocation, high operational costs, and suboptimal routing, ensuring networks remain robust, reliable, and efficient. Utilizing hyperdimensional computing and advanced time-series analysis, SPOT Connect anticipates faults before they occur, optimizes maintenance schedules, and manages energy and costs through dynamic routing algorithms and QoS-aware optimization. The secure architecture, built on a FastAPI framework and Python ML stack, guarantees real-time data processing and robust security. Future enhancements include advanced ML model integration, IoT sensor expansion, GIS data incorporation, and cloud-native deployment, positioning SPOT Connect as the cornerstone of digital transformation in the public sector.

### **AI-Powered Reverse Engineering Assistant** Businesses struggle to stay ahead due to long R&D cycles, high costs, and limited competitor insights. Our AI-powered reverse Engineering Assistant leverages IBM Granite AI and NLP to automate benchmarking, feature extraction, and innovation scoring, helping companies make data-driven decisions faster. ### **Key Features** #### 🔍 **Competitor Product Analysis** - Extracts specs, features, pricing, and feedback from manuals, reviews, patents, and datasheets. - Uses AI to highlight strengths, weaknesses, and innovation gaps. #### 📊 **AI-Powered Benchmarking** - Compares user products against competitors to find areas for improvement. - Analyzes key components, pricing strategies, and market trends. #### ⚙️ **Faster R&D Through Reverse Engineering** - Speeds up product development by analyzing competitors in real time. - Reduces trial-and-error with AI-driven prototyping insights. - Ensures compliance by focusing on publicly available data. ### **Industries That Benefit** ✅ **Consumer Electronics**: Smartphones, laptops, smart devices. ✅ **Automotive**: Vehicle features, safety, energy efficiency. ✅ **Pharmaceuticals**: Drug formulations, medical devices. ✅ **Manufacturing**: Machinery, production techniques. ✅ **Software & SaaS**: AI models, cloud platforms, enterprise apps. ### **Business Impact** ✅ Cuts R&D time by **50%**, accelerating innovation. ✅ Saves costs by providing **ready-to-use insights**. ✅ Enhances market competitiveness by aligning with trends. ✅ Reduces risk by avoiding investment in outdated features. ### **Conclusion** The AI-powered reverse Engineering Assistant helps businesses **innovate smarter** and outperform competitors. By integrating **IBM Granite AI**, it **automates competitor analysis**, making R&D **faster, smarter, and more cost-effective**. **Revolutionizing R&D with AI!**

The AI Startup Builder & Pitch Generator is a multi-agent AI system that helps entrepreneurs validate, refine, and pitch their startup ideas. It automates market research, business model generation, and pitch deck creation, streamlining the startup journey with AI-driven insights. Core Features Idea Validation & Market Research Uses News API and Google Trends for real-time insights. Conducts competitor analysis and suggests improvements. Business Model Generation Develops revenue models and profitability estimates. Creates an AI-generated business plan. Pitch Deck Creation & Document Automation Generates investor-ready presentations with python-pptx. Exports structured reports using ReportLab. Provides elevator pitches and executive summaries. Technology Stack Streamlit – Interactive, multi-tab web application. News API & Google Trends (PyTrends) – Real-time market validation. LangChain & Community Modules – AI-powered text processing. OpenAI API – AI-driven content generation. CrewAI – Multi-agent collaboration. Impact & Target Audience Automates business planning, saving time and effort. Provides investor-ready, AI-backed insights. Ideal for entrepreneurs, first-time founders, and hackathon participants. Future Enhancements AI-driven legal and compliance assistance. AI-powered branding and marketing support. Investor matching for funding opportunities. AI-generated pitch videos for enhanced presentations. Investor Q&A coaching to prepare founders for discussions. This platform simplifies startup development by turning ideas into validated business opportunities, making AI entrepreneurship more accessible.

🔍Create AI-driven, open-source solutions to optimize public sector network management in critical areas like predictive maintenance, total cost optimization (TOC), and energy efficiency—enhancing public sector networks' scalability, efficiency, and sustainability in underserved regions. 📅 Join us February 28–March 2, 2025: Participate online or in person in vibrant Barcelona, on the sidelines of MWC 2025, to collaborate with peers worldwide and shape the future of public sector connectivity. 👨‍🏫 Work alongside experienced industry mentors who will provide guidance and insights to elevate your solutions. 💰 $5,000 prize pool for the winners! 🏆 Compete for a chance to join the lablab NEXT incubator program! 🧑🏻‍💻 Don’t wait! Sign up now to secure your spot before the Kick-Off!

⏱️ 2 days to explore and create innovative applications powered by DeepSeek's advanced AI search capabilities. 🌟 Receive guidance from expert mentors who will support you throughout the challenge. 🤝 Collaborate with others or work independently to bring your groundbreaking ideas to life. 🏆 Compete for an opportunity to participate in the prestigious lablab NEXT acceleration program. 🧑‍💻 Secure your spot now and dive into the transformative world of AI-driven insights with DeepSeek!

Drive efficiency, automation, and innovation by streamlining workflows and integrating seamless processes. ⏳ You have 48 hours to complete the challenge and compete for prizes. 🚀 Learn and build AI solutions with IBM Granite. 💡 Create impactful solutions that drive smarter business operations. ⭐ Gain expert guidance throughout the hackathon. 🤝 Collaborate or work solo to bring your ideas to life. 💰 $10,000 prize pool for the winners! 🧑🏻‍💻 Sign up before the Kick-Off Stream and start shaping the future with IBM Granite!