Review Rating Aggregator project in Python.

The "Review and Rating Aggregator" project is a web-based platform designed to gather and present public reviews from various sources. It offers users a centralized location to access and analyze feedback for various products and services, including food delivery apps, e-commerce platforms, and social media channels. The platform features an intuitive interface for easy navigation and review exploration, along with analytical tools for sentiment analysis and trend identification.

1. User Registration: Users can register for an account by providing their email address, username, and password. The system verifies the information and creates a new user account, allowing access to the platform's features. 2. User Login: Registered users can log in to their accounts by entering their credentials (email/username and password). Upon successful authentication, users gain access to their personalized dashboard and can interact with the system. 3. View Reviews: Users can browse, and view reviews submitted by other users for various products, services, or experiences. They can filter reviews based on different criteria such as rating, category, or keywords to find relevant information. 4. Submit Review: Registered users can submit reviews for products, services, or experiences they have encountered. They provide details such as the name of the item/service, their rating (e.g., stars), and optional comments to share their opinions with other users. 5. Edit Review: Users can edit or update their previously submitted reviews if they wish to modify their ratings or add more information. This feature allows users to maintain accurate and up-to-date feedback on their experiences. 6. Delete Review: Users have the option to delete their own reviews if they no longer wish to have them displayed on the platform. This gives users control over their content and helps maintain the integrity of the review database. 7. Search Reviews: Users can perform searches to find specific reviews based on keywords, product names, categories, or other criteria. The search functionality helps users quickly locate relevant reviews and make informed decisions. 8. Rate Review Helpful/Unhelpful: Users can rate reviews submitted by other users as helpful or unhelpful based on their usefulness and relevance. This feedback mechanism helps highlight valuable reviews and filter out less informative ones. 9. Report Review: Users can report reviews that violate community guidelines, contain inappropriate content, or appear to be fraudulent. The system reviews reported reviews and takes appropriate actions such as removing or flagging them for further review. 10. View User Profile: Users can view profiles of other registered users to see their activity, including submitted reviews, ratings, and any additional information they choose to share. This feature fosters transparency and accountability within the community.

Visual Studio Code

Python Flask API, HTML, CSS, JS