#Ollama
#Ollama
#Ollama
#Ollama
#Ollama
#Ollama
#GoogleMapsAPI
#GoogleMapsAPI
#GoogleMapsAPI
#GoogleMapsAPI
#GoogleMapsAPI
#GoogleMapsAPI
Atlas
Atlas
Atlas
Atlas
Atlas
Atlas
Ever found yourself overwhelmed by endless reviews and scattered details when searching for information about a place? The challenge isn’t just finding data—it’s making sense of it all, quickly and clearly. That’s where Atlas steps in: a tool designed to distill mountains of user feedback and place information into concise, meaningful insights at a glance.
Instead of scrolling endlessly through reviews or outdated blogs, I built Atlas to summarize, recommend, and personalize travel suggestions just for you. Atlas reads through reviews, highlights what matters, and gives you concise, actionable insights—making every trip smarter and more enjoyable than ever before. But it doesn’t stop there—Atlas also features an interactive chat, letting users ask any question about a place and get instant answers based on the latest information from Google Maps.
Ever found yourself overwhelmed by endless reviews and scattered details when searching for information about a place? The challenge isn’t just finding data—it’s making sense of it all, quickly and clearly. That’s where Atlas steps in: a tool designed to distill mountains of user feedback and place information into concise, meaningful insights at a glance.
Instead of scrolling endlessly through reviews or outdated blogs, I built Atlas to summarize, recommend, and personalize travel suggestions just for you. Atlas reads through reviews, highlights what matters, and gives you concise, actionable insights—making every trip smarter and more enjoyable than ever before. But it doesn’t stop there—Atlas also features an interactive chat, letting users ask any question about a place and get instant answers based on the latest information from Google Maps.
Ever found yourself overwhelmed by endless reviews and scattered details when searching for information about a place? The challenge isn’t just finding data—it’s making sense of it all, quickly and clearly. That’s where Atlas steps in: a tool designed to distill mountains of user feedback and place information into concise, meaningful insights at a glance.
Instead of scrolling endlessly through reviews or outdated blogs, I built Atlas to summarize, recommend, and personalize travel suggestions just for you. Atlas reads through reviews, highlights what matters, and gives you concise, actionable insights—making every trip smarter and more enjoyable than ever before. But it doesn’t stop there—Atlas also features an interactive chat, letting users ask any question about a place and get instant answers based on the latest information from Google Maps.
Ever found yourself overwhelmed by endless reviews and scattered details when searching for information about a place? The challenge isn’t just finding data—it’s making sense of it all, quickly and clearly. That’s where Atlas steps in: a tool designed to distill mountains of user feedback and place information into concise, meaningful insights at a glance.
Instead of scrolling endlessly through reviews or outdated blogs, I built Atlas to summarize, recommend, and personalize travel suggestions just for you. Atlas reads through reviews, highlights what matters, and gives you concise, actionable insights—making every trip smarter and more enjoyable than ever before. But it doesn’t stop there—Atlas also features an interactive chat, letting users ask any question about a place and get instant answers based on the latest information from Google Maps.
Ever found yourself overwhelmed by endless reviews and scattered details when searching for information about a place? The challenge isn’t just finding data—it’s making sense of it all, quickly and clearly. That’s where Atlas steps in: a tool designed to distill mountains of user feedback and place information into concise, meaningful insights at a glance.
Instead of scrolling endlessly through reviews or outdated blogs, I built Atlas to summarize, recommend, and personalize travel suggestions just for you. Atlas reads through reviews, highlights what matters, and gives you concise, actionable insights—making every trip smarter and more enjoyable than ever before. But it doesn’t stop there—Atlas also features an interactive chat, letting users ask any question about a place and get instant answers based on the latest information from Google Maps.
Ever found yourself overwhelmed by endless reviews and scattered details when searching for information about a place? The challenge isn’t just finding data—it’s making sense of it all, quickly and clearly. That’s where Atlas steps in: a tool designed to distill mountains of user feedback and place information into concise, meaningful insights at a glance.
Instead of scrolling endlessly through reviews or outdated blogs, I built Atlas to summarize, recommend, and personalize travel suggestions just for you. Atlas reads through reviews, highlights what matters, and gives you concise, actionable insights—making every trip smarter and more enjoyable than ever before. But it doesn’t stop there—Atlas also features an interactive chat, letting users ask any question about a place and get instant answers based on the latest information from Google Maps.
2025 - present
Timeline
2025 - present
Timeline
Background
Background
Atlas is a web app built with NextJS that uses Ollama for AI-powered review summarization and integrates Google Maps APIs for real-time place data. Users can instantly view concise summaries of place reviews and interact with a chat assistant that answers questions about any location using up-to-date Google Maps information. The system combines a modern React-based UI, server-side API routes, and local AI inference to deliver fast, context-rich insights for any place.
The core features of Atlas include:
An AI-powered review summarizer that reads through user feedback and instantly generates clear, context-rich summaries for any location
An interactive chat interface where users can ask detailed questions about a place and receive accurate, up-to-date answers based on Google Maps data, making information retrieval both intuitive and conversational.
Atlas is a web app built with NextJS that uses Ollama for AI-powered review summarization and integrates Google Maps APIs for real-time place data. Users can instantly view concise summaries of place reviews and interact with a chat assistant that answers questions about any location using up-to-date Google Maps information. The system combines a modern React-based UI, server-side API routes, and local AI inference to deliver fast, context-rich insights for any place.
The core features of Atlas include:
An AI-powered review summarizer that reads through user feedback and instantly generates clear, context-rich summaries for any location
An interactive chat interface where users can ask detailed questions about a place and receive accurate, up-to-date answers based on Google Maps data, making information retrieval both intuitive and conversational.
Built
Built
1
Project Setup
The project was scaffolded using NextJS, providing a robust React-based framework for both server-side and client-side rendering. Key dependencies include Ollama for local AI inference, Google Maps APIs for place data, and Emotion for component-level styling. The architecture supports modular development and easy integration of new features.
1
Project Setup
The project was scaffolded using NextJS, providing a robust React-based framework for both server-side and client-side rendering. Key dependencies include Ollama for local AI inference, Google Maps APIs for place data, and Emotion for component-level styling. The architecture supports modular development and easy integration of new features.
1
Project Setup
The project was scaffolded using NextJS, providing a robust React-based framework for both server-side and client-side rendering. Key dependencies include Ollama for local AI inference, Google Maps APIs for place data, and Emotion for component-level styling. The architecture supports modular development and easy integration of new features.
1
Project Setup
The project was scaffolded using NextJS, providing a robust React-based framework for both server-side and client-side rendering. Key dependencies include Ollama for local AI inference, Google Maps APIs for place data, and Emotion for component-level styling. The architecture supports modular development and easy integration of new features.
1
Project Setup
The project was scaffolded using NextJS, providing a robust React-based framework for both server-side and client-side rendering. Key dependencies include Ollama for local AI inference, Google Maps APIs for place data, and Emotion for component-level styling. The architecture supports modular development and easy integration of new features.
2
User Interface Design
The UI is built with React components and styled using Emotion, focusing on clarity, responsiveness, and ease of use. The layout adapts seamlessly across devices, presenting place details, review summaries, and interactive elements in a clean, organized manner. Special attention was given to smooth transitions and intuitive navigation between tabs (Overview, Reviews, About).
2
User Interface Design
The UI is built with React components and styled using Emotion, focusing on clarity, responsiveness, and ease of use. The layout adapts seamlessly across devices, presenting place details, review summaries, and interactive elements in a clean, organized manner. Special attention was given to smooth transitions and intuitive navigation between tabs (Overview, Reviews, About).
2
User Interface Design
The UI is built with React components and styled using Emotion, focusing on clarity, responsiveness, and ease of use. The layout adapts seamlessly across devices, presenting place details, review summaries, and interactive elements in a clean, organized manner. Special attention was given to smooth transitions and intuitive navigation between tabs (Overview, Reviews, About).
2
User Interface Design
The UI is built with React components and styled using Emotion, focusing on clarity, responsiveness, and ease of use. The layout adapts seamlessly across devices, presenting place details, review summaries, and interactive elements in a clean, organized manner. Special attention was given to smooth transitions and intuitive navigation between tabs (Overview, Reviews, About).
2
User Interface Design
The UI is built with React components and styled using Emotion, focusing on clarity, responsiveness, and ease of use. The layout adapts seamlessly across devices, presenting place details, review summaries, and interactive elements in a clean, organized manner. Special attention was given to smooth transitions and intuitive navigation between tabs (Overview, Reviews, About).
3
AI Summarization Integration
Atlas leverages Ollama’s language models to process and summarize user reviews. When a place is selected, the backend sends review data to Ollama, which returns a concise summary highlighting key sentiments and insights. This summary is displayed alongside individual reviews, helping users quickly grasp the overall feedback for any location.
3
AI Summarization Integration
Atlas leverages Ollama’s language models to process and summarize user reviews. When a place is selected, the backend sends review data to Ollama, which returns a concise summary highlighting key sentiments and insights. This summary is displayed alongside individual reviews, helping users quickly grasp the overall feedback for any location.
3
AI Summarization Integration
Atlas leverages Ollama’s language models to process and summarize user reviews. When a place is selected, the backend sends review data to Ollama, which returns a concise summary highlighting key sentiments and insights. This summary is displayed alongside individual reviews, helping users quickly grasp the overall feedback for any location.
3
AI Summarization Integration
Atlas leverages Ollama’s language models to process and summarize user reviews. When a place is selected, the backend sends review data to Ollama, which returns a concise summary highlighting key sentiments and insights. This summary is displayed alongside individual reviews, helping users quickly grasp the overall feedback for any location.
3
AI Summarization Integration
Atlas leverages Ollama’s language models to process and summarize user reviews. When a place is selected, the backend sends review data to Ollama, which returns a concise summary highlighting key sentiments and insights. This summary is displayed alongside individual reviews, helping users quickly grasp the overall feedback for any location.
4
Conversational Chat Feature
The chat assistant is implemented as an interactive component that accepts natural language queries about any place. User questions are parsed and matched with available Google Maps data, including address, hours, contact info, and reviews. The system generates context-aware responses, allowing users to get specific details or clarifications without manual searching.
4
Conversational Chat Feature
The chat assistant is implemented as an interactive component that accepts natural language queries about any place. User questions are parsed and matched with available Google Maps data, including address, hours, contact info, and reviews. The system generates context-aware responses, allowing users to get specific details or clarifications without manual searching.
4
Conversational Chat Feature
The chat assistant is implemented as an interactive component that accepts natural language queries about any place. User questions are parsed and matched with available Google Maps data, including address, hours, contact info, and reviews. The system generates context-aware responses, allowing users to get specific details or clarifications without manual searching.
4
Conversational Chat Feature
The chat assistant is implemented as an interactive component that accepts natural language queries about any place. User questions are parsed and matched with available Google Maps data, including address, hours, contact info, and reviews. The system generates context-aware responses, allowing users to get specific details or clarifications without manual searching.
4
Conversational Chat Feature
The chat assistant is implemented as an interactive component that accepts natural language queries about any place. User questions are parsed and matched with available Google Maps data, including address, hours, contact info, and reviews. The system generates context-aware responses, allowing users to get specific details or clarifications without manual searching.
Tools
Tools
React
Google Maps API
Conclusion
Atlas was built to solve the challenge of information overload when searching for places—transforming scattered reviews and raw data into clear, actionable insights.
As an engineer, I focused on practical AI integration and user-centric design, I set out to create a tool that not only summarizes complex feedback but also enables natural, conversational access to real-time place information.
The result is a modern web application that empowers users to make smarter decisions, faster—showcasing my passion for building intuitive, AI-driven products that bridge the gap between data and understanding.