Novita AI technology page Top Builders

Explore the top contributors showcasing the highest number of Novita AI technology page app submissions within our community.

Novita

Novita is a scalable AI cloud platform offering over 200 powerful APIs for LLMs, image/video generation, speech, and more. With serverless GPU infrastructure, seamless model deployment, and Hugging Face integration, Novita makes advanced AI accessible and affordable for developers and enterprises.

General
Release date	2023
Author	Novita
Type	Multimodal AI Cloud Platform

Novita - APIs & Services

Explore Novita’s wide range of ready-to-use APIs for building AI applications

All Models Over 200 pre-integrated APIs including text-to-image, speech synthesis, and video generation
Quickstart Guide Get started with Novita in minutes
API Docs Full documentation for integrating APIs
Serverless GPU Inference Scalable, pay-as-you-go inference infrastructure

Novita - Integrations

Tools and integrations to supercharge your workflow

Novita on Hugging Face Use Novita as your inference backend directly from Hugging Face

Novita - Tutorials & Demos

Written guides and demos to help you get started

How to Use Novita APIs End-to-end guide to integrating Novita APIs
Deploy Your Custom Model Scale your custom models with Novita support
Video-to-Image & Diffusion APIs Visual AI tools with just an API call

Novita - Key Resources

Important links to explore the platform

Homepage Start here
GPU Pricing Compare pricing for A100, RTX 4090, L40S and more
Referral Program Invite friends and earn up to $500 in credits
Blog & Updates News, feature drops, and tutorials

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Novita AI technology page Hackathon projects

Discover innovative solutions crafted with Novita AI technology page, developed by our community members during our engaging hackathons.

AI-driven Team Formation

When a company gets a big project with a tight deadline, they face several challenges: Problem: - Time pressure: Not enough time to manually assess every employee's suitability. - Talent blind spots: Hidden or underutilized talents go unnoticed. - Bias and inconsistency in role assignments. - Cross-team collaboration gaps (who's available, who’s overloaded, etc.) - Need for immediate team readiness without the luxury of trial and error. My Tool Fixes This By: - Rapidly analyzing internal employee data (CVs, project history, feedback). - Auto-matching people to project roles based on real evidence, not just titles. - Providing explanations: Why this person fits, what gaps they might have, how to cover them. - Suggesting team composition instantly → making project kickoff much faster and smarter. I am proposing a role-fit AI engine that: - Works under tight timelines - Analyzes holistic data - Suggests ready-to-go teams - Justifies its decisions with explainable AI reasoning

SkySurveyor - Photogrammetry analysis software

- Photogrammetry Processing: Automatically processes drone images to create orthomosaic maps. - Modern Image Alignment: Uses edge detection, feature matching, and static point analysis for precise image placement. - Interactive Map Visualization: Displays processed images as overlays on interactive maps using Folium. - Multi-Resolution Tiling: Supports efficient map rendering at multiple zoom levels. - Performance Optimizations:Utilizes parallel processing and optimized image handling for large datasets. - Customizable Overlays: Enhanced overlays with popups, markers, and custom CSS for improved user experience. ## Usage - Upload drone images via the web interface. - Start photogrammetry processing from the dashboard. - View the generated orthomosaic and overlays on the interactive map. Key Technologies - Python, Django for backend and web framework - OpenCV, NumPy, Pillow for image processing - Folium** for map visualization - Concurrent Futures for parallel processing Advanced Techniques - Edge-based and Feature-based Alignment: Ensures accurate image stitching using Canny edge detection and ORB/SIFT feature matching. - Static Point Analysis: Fine-tunes image placement by analyzing overlapping features, similar to panorama stitching. - Multi-Resolution Tiles: Generates smaller, optimized PNG overlays for efficient map loading.

FeelBack - Relive your Favourite viral moment

FeelBack addresses the modern challenge of emotional disconnection and digital overwhelm by harnessing the power of nostalgia to boost mood, foster connection, and inspire creativity. Many people struggle to find authentic, uplifting content that resonates with their personal memories, often spending too much time searching for meaningful moments or feeling isolated in the fast-paced digital world. FeelBack solves this by allowing users to input their current mood and instantly receive AI-generated, era-specific viral memories—transforming those emotions into personalized, shareable TikTok or Instagram-ready content. Targeted at Gen Z, Millennials, and anyone seeking emotional wellness or creative social engagement, FeelBack stands out with features like social challenges, memory completion with friends, and generation battles that drive viral participation. The platform’s unique AI engine ensures high nostalgia accuracy, while its seamless design makes sharing effortless. Built using TRAE AI IDE’s multi-agent orchestration, FeelBack achieves rapid feature development, robust scalability, and enterprise-grade security. This not only creates a fun, emotionally enriching experience for users but also offers brands and creators new ways to engage audiences, monetize nostalgia, and build lasting community bonds in the digital age.

dyslexi-read

DyslexiaAI is my app to make reading easier for dyslexic students, like me, because 1 in 5 kids struggle and many drop out. It changes PDFs or text, like school notes, into a dyslexia-friendly format with clear spacing and cool fonts. Novita AI gives short summaries so that you get it. You can pick colors like blue or green, to make it easy on the eyes. I used Trae AI IDE, Next.js, and Vercel to build it. It’s for kids and schools, maybe with a $5/month plan, beating boring apps with fun learning! i hope this project will help many students who are currently struggling with dyslexia. #novita

CodeChrono

In software development, time is not only money it also acts as memory. Chrono is genuinely an Al-native SaaS platform that captures and sets in stone a developer's decision-making process, climbing up debugging speed, and foster collaboration and long-term knowledge retention. Today, developers face fragmented workflows, unclear commit histories, and the recurring feeling of lost memory for specific changes. Chrono tackles all these problems by converting. the development journey into a dynamic and interactive timeline logging everything from voice annotation, task activities, commit codes, and bug traces. Developers can voice-record their instructions using Novita Al. These voice instructions are transcribed, contextually structured, and tagged with intelligence. Trac Al agents track work progress, code changes, and project decision-making, then compose these into a neat and searchable timeline. As Zilliz vector database supports natural language search, users can simply ask pertinent queries such as "Why was Redux removed?" or "What triggered the onboarding issue?" and retrieve the actual context immediately. Chrono targets solo developers, remote teams, and startup in agile settings working on reducing technical debt, speeding up onboarding, and preserving intent.

Your AI Assistant for Flights and Hotels

Our project is an AI-powered web application designed to revolutionize the travel booking experience by seamlessly integrating flight and hotel reservations in a single intelligent platform. The core of our system is an interactive AI chatbot that assists users in finding and booking flights and accommodations based on their preferences, budget, and travel dates, all in real-time. Built using Python for backend logic and HTML/CSS for a clean, responsive frontend, the application delivers both functionality and user-friendly design. We’ve incorporated Trae for efficient routing and API management, enabling smooth communication between different services. For natural language understanding and conversational intelligence, we integrated Novita AI API, allowing the chatbot to interpret user intent accurately and provide relevant responses. To enhance data retrieval and similarity search, we used Zilliz, a powerful vector database, which allows the system to recommend personalized options by matching user queries with a large dataset of travel offerings. This smart booking assistant not only simplifies the search process but also enhances user engagement through real-time recommendations, availability checks, and a fully interactive experience, making travel planning faster, smarter, and more convenient.