Freestyle AI Battle Arena is a web-based AI-powered rap battle platform where users can freestyle rap against an AI opponent or each other, get real-time lyrical feedback, and generate complete rap verses with beats and voice synthesis. The platform leverages state-of-the-art generative AI to bring hip-hop culture into the digital age. The core idea is to make rap creation, performance, and critique accessible to everyone—artists, learners, and hobbyists—regardless of their skill level. Users can: 🎤 Battle in freestyle mode against an AI rapper or a friend. 🧠 Receive coaching and feedback on their flow, rhymes, and punchlines from an AI Rap Coach that analyzes lyrics and gives scores out of 10. ✍️ Generate rap lyrics based on any topic or theme using GPT-based text generation. 🔊 Convert rap lyrics into voice and music using ElevenLabs' TTS for voice cloning and (optionally) beat generation tools. 🎧 Generate rap beats & Lyrics Using minimax (AI/ML API): Generate rap against your opponent with your own control like, Voice style ( Aggressive, Calm, Robotic, Playful, Sarcastic) and background music style (Hip-hop, rap, Lo-fi, Boom Bap) This app merges creativity, education, and fun—bringing freestyle rap into an interactive digital format powered by AI.

Our project, DeepSeek Web Assistant, is a powerful AI-driven browser extension designed to make web browsing more interactive and insightful. With this extension, users can: --Summarize web pages instantly using DeepSeek’s AI models. --Ask questions about web content and receive relevant answers. --Use the "Highlight to Ask" feature, allowing them to highlight text and ask questions related to the selected content. --Interact with research papers, articles, and general web pages to extract key insights efficiently. --Seamlessly integrate AI-powered search and summarization into their browsing experience. This tool is particularly useful for students, researchers, and professionals who need quick, precise information while browsing the web.

NeuroSight represents a breakthrough in neuroimaging analysis, offering a user-friendly interface through Streamlit. Powered by a robust Deep Learning model, it swiftly categorizes MRI brain images into four distinct classes: no tumor, glioma, meningioma, or pituitary. Beyond classification, NeuroSight seamlessly connects with Gemini's LLM model API to produce comprehensive text descriptions of identified tumors, enriching diagnostic insights for an individual. Built with the Streamlit library, NeuroSight prioritizes accessibility and accuracy, revolutionizing the way we interpret and understand neurological conditions.

🗓️ 48-hour AI Challenge - Build your own AI agent or agent simulation over the weekend 🦜 Power up your coding with the LangChain framework! 🤝 Connect with potential co-founders and mentors at the event

🔴 An advanced-level hackathon ⏱ The one-day challenge 🧑‍💻 Build with the next-gen technology 🏁 Complete your app by the end!

🏗️ Build projects with Autonomous Agents, using cutting-edge frameworks like SuperAGI, AutoGPT, BabyAGI, Langchain, and more! 🏆 Register now and stand a chance to win up to $10,000 and a place on the SuperAGI team. 🏁 3-days to complete your solution!