EcoLoop: a platform that uses advanced AI to help you evaluate new ideas easily and effectively

A walkthrough of EcoLoop, a platform that combines chatbot-driven idea evaluation, visual analytics, and 3‑D VR prototypes, built using LangChain, Pinecone, and Flask.

Overview

Chatbot Interaction: Effortlessly articulate problem-solution pairs with an intuitive chatbot interface.
Visualizations: Gain profound insights through graphical representations, maturity stage, and viability scores.
3D-VR Integration: Immerse yourself in proposed solutions with realistic virtual reality experiences.
EcoLoop’s intelligence is implemented using the Retrieval-Augment-Generator framework LangChain, which connects the Language Model to the extensive knowledge repository encoded in the vector database.
-Technologies used: Pinecone (fast similarity search for vectorized data), LORA Model (generates the 3-d VR solution Web Scraper), Semantic Classifier (discern semantic meanings for idea categorization), Semantic Summarizer (summarize content based on its meaning Nextjs and TailWindCSS), and Flask (handles backend and endpoint creations, and runs the ML models)

Video

Links

https://github.com/CaesarSaleh/EcoLoop
EcoLoop: AI-driven idea evaluation using RAG, LLMs, and 3D-VR.

Tech stack