Who we are

Suggested text: Our website address is: https://vividinfotech.com.

Comments

Suggested text: When visitors leave comments on the site we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection.

An anonymized string created from your email address (also called a hash) may be provided to the Gravatar service to see if you are using it. The Gravatar service privacy policy is available here: https://automattic.com/privacy/. After approval of your comment, your profile picture is visible to the public in the context of your comment.

Media

Suggested text: If you upload images to the website, you should avoid uploading images with embedded location data (EXIF GPS) included. Visitors to the website can download and extract any location data from images on the website.

Cookies

Suggested text: If you leave a comment on our site you may opt-in to saving your name, email address and website in cookies. These are for your convenience so that you do not have to fill in your details again when you leave another comment. These cookies will last for one year.

If you visit our login page, we will set a temporary cookie to determine if your browser accepts cookies. This cookie contains no personal data and is discarded when you close your browser.

When you log in, we will also set up several cookies to save your login information and your screen display choices. Login cookies last for two days, and screen options cookies last for a year. If you select “Remember Me”, your login will persist for two weeks. If you log out of your account, the login cookies will be removed.

If you edit or publish an article, an additional cookie will be saved in your browser. This cookie includes no personal data and simply indicates the post ID of the article you just edited. It expires after 1 day.

Embedded content from other websites

Suggested text: Articles on this site may include embedded content (e.g. videos, images, articles, etc.). Embedded content from other websites behaves in the exact same way as if the visitor has visited the other website.

These websites may collect data about you, use cookies, embed additional third-party tracking, and monitor your interaction with that embedded content, including tracking your interaction with the embedded content if you have an account and are logged in to that website.

Who we share your data with

Suggested text: If you request a password reset, your IP address will be included in the reset email.

How long we retain your data

Suggested text: If you leave a comment, the comment and its metadata are retained indefinitely. This is so we can recognize and approve any follow-up comments automatically instead of holding them in a moderation queue.

For users that register on our website (if any), we also store the personal information they provide in their user profile. All users can see, edit, or delete their personal information at any time (except they cannot change their username). Website administrators can also see and edit that information.

What rights you have over your data

Suggested text: If you have an account on this site, or have left comments, you can request to receive an exported file of the personal data we hold about you, including any data you have provided to us. You can also request that we erase any personal data we hold about you. This does not include any data we are obliged to keep for administrative, legal, or security purposes.

Where we send your data

Suggested text: Visitor comments may be checked through an automated spam detection service.

VIVID INFOTECH SOFTWARE SOLUTIONS

Retail Sales Prediction and Inventory Optimization

Client Internal Demo / Concept Project
Tech Stack Python, scikit-learn, Pandas, Matplotlib
Description Developed a machine learning model that forecasts sales trends based on historical POS data. Helped identify overstocked and understocked items, improving warehouse efficiency by 30%.

This will close in 0 seconds

Personalized Recommendation Engine for E-commerce

Client Demo for Retail Sector
Tech Stack Python, Django, scikit-learn, Redis
Description Developed a collaborative filtering-based recommendation engine that increased cross-selling and customer engagement in demo simulations.

This will close in 0 seconds

Al-Based Quality Inspection in Manufacturing

Client Internal POC for Manufacturing Clients
Tech Stack OpenCV, TensorFlow, Flask
Description Created a computer vision model that detects visual defects in products on the assembly line, using real-time image feeds. Increased defect detection accuracy to 92%.

This will close in 0 seconds

NLP-Powered Customer Support Chatbot

Client Internal Tool for Customer Ticketing System
Tech Stack Python, spaCy, Rasa, FastAPl
Description Built a conversational chatbot capable of answering FAQs, creating support tickets, and escalating issues to human agents. Reduced human workload by 60% and improved response time.

This will close in 0 seconds

chat
Hello
How Can we help you today?