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Visa Application Assistance Bot

AI-powered Visa slot booking platform

Industry

Technology, Software

 

Project Duration

3 Weeks

Location

UK

Project Overview

Visa Application Assistance Bot is an AI-driven platform that automates visa appointment booking, saving time and effort for both applicants and visa offices. The bot scans the official site for available appointment slots, scrapes relevant information, and posts real-time updates in a dedicated Telegram group, enabling users to efficiently book their visa interview and biometric appointments.

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Problem

Manual and time-consuming Visa slot booking platform

The problem with the visa application process is the difficulty in finding and securing available appointment slots due to the manual and time-consuming effort required to monitor multiple websites. This complexity leads to significant delays and frustration for applicants trying to book visa interviews and biometric verifications, resulting in inefficiencies and errors that impact both users and visa offices.

 

Our client reached out to Tezeract to develop a Visa application automation tool that could resolve issues with manual visa slot booking by automating Visa booking appointments.

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Solution

An AI-powered Visa application automation tool

The AI Visa Slot Booking Platform revolutionizes the visa application process by automating visa booking appointments using Python, Selenium, and AWS Lambda. This advanced visa application automation tool continuously scans visa office websites for available appointment slots and collects essential information. Once slots are available, it promptly updates users through a dedicated Telegram group, providing real-time notifications. With features like CAPTCHA solving and instant alerts via Twilio and Telegram, this bot automation case study addresses common issues with manual visa slot booking. It streamlines and automates appointment booking for visas, significantly improving efficiency and user experience.

The Results

Enhanced Efficiency and Accuracy

Achieved over 70% automation in visa slot booking processes, eliminating manual monitoring and significantly reducing human error while ensuring timely and accurate appointment scheduling.

Real-Time Notifications for Faster Decisions

Reduced delays by providing instant updates on available visa slots via Telegram and Twilio, enabling users to secure appointments 30% faster than traditional methods.

Robust Security and Seamless Access

Effectively navigated complex CAPTCHA systems and website security measures, ensuring uninterrupted service and reliability in slot availability detection.

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Tech stack used in visa bot?

Leveraging Visa Application Assistance Bot with Our Cutting-Edge Artificial Intelligence Tech Stack

selenium
Fastapi
Python
VisaBot Tezeract
VisaBot Tezeract
VisaBot Tezeract
VisaBot Tezeract

The Challenge

Traditional visa slot booking is fraught with difficulties due to the need for constant manual monitoring of multiple websites. This process is not only time-consuming but also prone to human error, leading to missed opportunities and delays in securing appointments.

Visa office websites often employ CAPTCHA and other security measures to prevent automated access. The challenge for the Visa Slot Booking Platform was to effectively solve CAPTCHAs and navigate these barriers to ensure seamless and accurate appointment slot retrieval.

Ensuring timely and accurate notifications of available visa slots is crucial for applicants. The challenge was to develop a system that delivers instant updates through Telegram and other communication channels while maintaining reliability and efficiency in slot booking automation.

Visabot Challenge
Visabot Key Features

The Process

We aligned with the business vision to develop a thorough project brief, which included extensive market research, competitor analysis, and relevant data. We then brought the concept to life by defining a detailed list of user stories and features to validate the core assumptions of the MVP.

We started by designing the key screens to show the client the product’s look. After refining the UX/UI through client feedback. Once these primary screens were finalized, we expanded the design to cover all additional screens and delivered the complete UX/UI for the product.

At this stage, we focus on developing the AI File Management System by crafting the architecture of the AI model and training it. 

After the product launch, we collected feedback from end-users to refine and enhance the product. We introduced new iterations and features concurrently to ensure an optimal user experience.

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