Abhirami Aji@ajiabhirami924572

CareerPilot AI is an AI-powered career assistant designed to help students, recent graduates, and job seekers make smarter decisions when applying for jobs. Users can provide their resume and a target job description to analyze how well their profile matches the role. CareerPilot AI turns this information into actionable insights including job-fit analysis, relevant keywords, ATS-oriented insights, experience alignment, skill-gap identification, and personalized career strategy. The platform goes beyond resume analysis by helping users organize their job search through analysis history, reports, and an Application Tracker where opportunities and application statuses can be managed. This creates an end-to-end workflow from understanding a job opportunity to improving a candidate's profile and tracking the application. CareerPilot AI was created primarily using native.builder and iteratively refined and tested during development. The application is publicly deployed and includes a demo-friendly experience so judges can explore the product without needing to provide their own AI API key.

TradeMind AI is an AI-powered market intelligence platform designed to simplify stock market analysis for traders, investors, and students. Modern traders often rely on multiple websites and tools to monitor market indices, institutional activity, news sentiment, company fundamentals, and technical trends. TradeMind AI solves this fragmentation problem by combining all of these insights into a single unified dashboard. The platform provides real-time tracking of major Indian market indices including NIFTY 50, BSE Sensex, NIFTY Bank, and India VIX using live market data. It also performs market breadth analysis by monitoring NIFTY constituents and identifying advances, declines, and overall market participation. TradeMind AI includes sector performance analytics, top gainers and losers tracking, personalized watchlists, and intraday charting capabilities to help users identify trends and opportunities quickly. One of the platform's key features is its financial news intelligence system. Market news is aggregated and automatically classified as positive, negative, or neutral using the VADER sentiment analysis engine, allowing users to understand market sentiment at a glance. The project also features an AI-powered market assistant capable of answering finance-related questions using live market context, news sentiment, and institutional flow information. This enables users to interact with market data conversationally and receive context-aware explanations rather than generic responses. The frontend is built using React and Vite, while the backend uses FastAPI. The platform integrates Yahoo Finance for market data, NewsAPI for financial news, VADER for sentiment analysis, and Fireworks AI models for conversational intelligence. The entire application is containerized using Docker and deployed using Vercel and Render. TradeMind AI aims to make financial intelligence more accessible, understandable, and actionable for everyone participating in the market.

💻 Online Hackathon | ⏳ Build: 48 hours | 📅 September 25–27, 2026 The official IBM Bob 2.0 hackathon. Build what's next in AI-assisted development, alongside the developers and experts shaping it. ⭐ Get help from experts throughout the event 🤝 Join a team or build solo 💰 Prize pool: $12,000 🧑🏻‍💻 Register before the Kick-Off Stream to start building with Bob

🌎 Online Hackathon | 📅 August 3–10, 2026| 💻 Powered by native.builder The official native.builder hackathon, hosted by NativelyAI and lablab.ai. Join founders, developers, designers, and builders to create real AI-native applications powered by native.builder: from idea to deployed product, fully in the cloud. 💻 This hackathon is fully online. No travel required.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.