I have developed a full-stack web platform designed to intelligently analyze the genuine feedback...
A developer built a full-stack platform that applies a Naive Bayes NLP model to Steam community reviews, predicting purchase value with real-time autocomplete via Steam API. The stack (FastAPI, React, Tailwind) is a lightweight blueprint for teams exploring sentiment analysis pipelines on user-generated content without LLM costs.
I have developed a full-stack web platform designed to intelligently analyze the genuine feedback from the Steam gaming community before making a purchase. The main goal was to create a fully functional product from start to finish, from the machine learning model to deployment.
• Backend: Python and FastAPI
• AI / Machine Learning: Naive Bayes classification model (NLP)
• Frontend: React, Tailwind CSS
• Integrations: Steam API
Hey dev.to 👋 After spending a month learning Machine Learning through Andrew Ng’s specialization, I...
Documentation and guides from the team at Fly.io.
The brief The client runs an AI agent platform for D2C brands — 200+ agents across 9 departments....
TL;DR: I built a full-stack AI chatbot platform for IFDA, an Indian educational institute. It...
Hey devs 👋 I'm Nitish — a full-stack developer and AI automation engineer. For the past 7 years,...
Artificial Intelligence is rapidly evolving from simple chatbots into intelligent automation systems...
