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It is a law assistant chatbot trained in the US Law book. The chatbot answers queries related to US law and tries to prepare cases according to the scenario using legal knowledge. I developed a RAG using Langchain. The backend was Firebase with Flask.
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We designed the branding and product experience for LawPair, a platform that helps people quickly find and connect with the right lawyer.
The goal was to create a clear, simple experience where users can browse verified attorneys, filter by practice area, and reach out directly.
Design focused on structure, transparency, and making legal services easier to navigate.
Look amazing @Jeremie Lasnier
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Built a modern AI automation landing experience for NeuroFlow AI.
This concept shows how businesses can turn repetitive operations into autonomous AI systems that recover hours every month and streamline revenue workflows.
Highlights:
• AI workflow automation
• Custom GPT assistants
• CRM & revenue automation
• 312+ hours recovered monthly
Exploring how AI products and automation platforms can be presented with premium SaaS design and clear product storytelling. 🚀
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Built AI Assistant Hub — a production-grade AI chat application deployed on Replit.
The project demonstrates how quickly you can build and ship AI-powered tools using Replit as the development and deployment environment.
Key highlights:
• Custom AI chat interface
• Fast API backend architecture
• Scalable deployment on Replit
• Clean UI designed for productivity
🔗 Try the live app: https://ai-assistant-hub--abhiram678.replit.app/
Replit continues to be one of my favorite platforms for rapidly building and deploying AI applications.
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