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Easy Peasy AI

2 min read
Easy Peasy AI

Created intuitive UI and tools for model training.

Easy-Peasy.AI provides a suite of AI tools for content creation, transcription, text-to-speech, and image generation. Users can generate text, create images, transcribe audio, and build custom AI bots. The platform enhances productivity with templates and supports multilingual content. Aimed at individuals and businesses, it simplifies workflows and boosts creativity.

Easy Peasy AI's purpose:

  • 💾 ChatGPT like AI chat with real-time data, vision, and PDF AI Chat
  • 🌿 Build no-code AI Bots by training on your own data. Embed on any website or share via URL
  • 🌐 Convert text into clear, natural sounding speech across 40+ languages
  • 🚀 Accurately transcribe audio files into text through AI-powered automation
  • 🖼️ Create stunning images and art with AI
  • ✍️ Create articles, social media posts, emails, and more with our 200+ tools
Easy Peasy AI Logo

Achievements:

Developed intuitive UIs, ML model training tools, data preprocessing features, integration APIs, collaboration tools with version control, and scalable deployment solutions with cloud support.

  • User Interface Design
    • Developed an intuitive and user-friendly interface for easier navigation and interaction.
    • Implemented responsive design to ensure compatibility across devices.
  • Model Training Features
    • Built tools for users to train machine learning models using various datasets.
    • Integrated multiple algorithms for supervised and unsupervised learning.
  • Data Preprocessing Tools
    • Created functionalities for data cleaning, normalization, and transformation.
    • Implemented feature engineering options to enhance model performance.
  • Integration Capabilities
    • Developed APIs to allow seamless integration with other applications and services.
    • Ensured compatibility with popular programming languages and frameworks.
  • Collaboration Features
    • Built tools for team collaboration, enabling multiple users to work on projects simultaneously.
    • Implemented version control to track changes and manage project history.
  • Deployment Solutions
    • Developed easy deployment options for models to production environments.
    • Integrated cloud service support for scalable model hosting.

Tech Stacks I've Used Here:

  • Next.js
  • Tanstack Query
  • Zustand
  • Typescript
  • Next.js API Routes for backend
  • Docker
  • Material UI
  • Prisma
  • GraphQL
  • LangChain(LangSmith, LangGraph)
  • LLM
  • OpenAI
  • PineCone