Chaitanya Naidu Narisetti@ncn914491857

Navigating the recently overhauled Indian criminal justice system, which introduces the Bharatiya Nyaya Sanhita (BNS), Bharatiya Nagarik Suraksha Sanhita (BNSS), and Bharatiya Sakshya Adhiniyam (BSA), is a massive challenge for both legal professionals and everyday citizens. NyayaLLM solves this by providing a highly accurate, domain-specific AI assistant trained exclusively on these new legal frameworks. We leveraged the immense compute power of AMD MI300X instances to fine-tune a Llama 3.1 model, ensuring rapid iteration and high throughput during the training phase. By utilizing ROCm and Hugging Face libraries, we adapted the base model to understand complex legal jargon, procedural nuances, and the specific relationships between the old IPC/CrPC sections and the newly implemented BNS/BNSS codes. The resulting application allows users to query specific legal scenarios, understand compliance requirements, and draft preliminary legal summaries with significantly reduced hallucinations compared to standard, general-purpose models. Our ultimate goal with NyayaLLM is to democratize legal knowledge, increase productivity for law firms dealing with the transition, and ensure that the complexities of the new Indian criminal laws do not become a barrier to justice.

MedGuardAI is a real-time AI assistant designed to reduce clinical errors and enhance decision-making in healthcare. The system leverages large language models (LLMs) to analyze patient records, prescriptions, and medical histories to detect misdiagnoses, medication conflicts, dosage anomalies, and documentation issues. It enables patients to securely share their medical data with doctors via token-based access, ensuring data privacy and control. Built using Groq API, LLaMA, Firebase, and Supabase, MedGuardAI functions in low-resource settings without requiring expensive infrastructure. The assistant provides explainable outputs to build trust and transparency, making it a practical tool for improving patient safety and healthcare outcomes.

AI Genesis is a global hybrid hackathon that brings AI builders together from around the world — starting online and culminating live at /function1 AI Conference & Exhibition 2026 in Dubai. 📅Oct 26 – Nov 3, 2026 • Oct 26 – Nov 2: Online build & collaboration All projects must be submitted by end of day on November 2. • Nov 2 (Online + Dubai): An exclusive on-site build day in Dubai for selected participants. • Nov 3 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now, sign up before the Kick-Off Stream!

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.