Need an Akamai bot detection expert and android developer

@softsolution2000

I am an expert in Akamai bot detection and Android development. My skills in Java, JavaScript, Android, Mobile Development, and Automation make me a great match for your project. I am confident that we can find a solution to bypass Akamai's detection and create a seamless autofill mechanism. Budget can be adjusted after discussing the full scope, and I am committed to working within your budget. Let's discuss the details and get started right away. Please go through my profile, and let's make this project a success.

@ixorawebmob

Hello, I’ve gone through your project details and this is something I can definitely help you with. I have 10+ years of experience in mobile and web app development, including extensive work with Android applications. I focus on clean architecture, scalable code, and clear communication to ensure the project runs smoothly from start to finish. Given your requirements, it's clear that my expertise in bot detection mechanisms, particularly with Akamai, can help develop an autofill feature that simulates manual input more effectively. I will first review your current implementation and data handling, suggest a robust technical solution, and then proceed with development while keeping you updated at every stage. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m interested in your project and would love to understand more details to ensure the best approach. Could you clarify: 1️⃣ Do you have specific metrics or behaviors from the Akamai sensor data you'd like to replicate? 2️⃣ Are there any additional performance considerations you want to incorporate? 3️⃣ What is your expected timeline for completion? Could you clarify any specific metrics or behaviors from the Akamai sensor data you'd like to replicate? Let’s discuss over chat! Regards, Arpit Jaiswal

@kaustubhbawa123

Hi I am an IIT grad. I have done such similar projects and i will get it done for you . Regards, Kaustubh

@ishudhiman171

I have 5+ years of experience in Android development and bypassing advanced bot detection mechanisms like Akamai. I can help implement a robust, human-like autofill solution that passes Akamai validations, using advanced input simulation techniques, sensor data handling, and GeckoView optimizations, ensuring seamless form submission without triggering anti-bot blocks.

@Azursol

Hello Vishal! I’m excited about the opportunity to help with your project. Based on your requirements, I believe my expertise in JavaScript aligns perfectly with your needs. How I Will Build It: I will approach your project with a structured, goal-oriented method. Using my experience in Java, JavaScript, Android, Mobile Development, Automation, Android App Development, Bot Development, I’ll deliver a solution that not only meets your expectations but is also scalable, efficient, and cleanly coded. I ensure seamless integration, full responsiveness, and a strong focus on performance and user experience. Why Choose Me: - 10 years of experience delivering high-quality web and software projects - Deep understanding of JavaScript and related technologies - Strong communication and collaboration skills - A proven track record — check out my freelancer portfolio. - I’m available for a call to discuss your project in more detail - Committed to delivering results on time, every time Availability: I can start immediately and complete this task within the expected timeframe. Looking forward to working with you, Vishal! Best regards, Ali Zahid India

@deshasoft

hello , what about to change your bot from android to pc ? i can handle that website using pc or RDPs or any servers, also can use useragent as android ('i can test if work with your work or not')

@hassans5

Hi — I understand you’re working around Akamai Bot Detection using GeckoView, custom IME, and touch-dispatching, and the blocker is text input still being flagged while clicks pass cleanly. I’ve worked deeply with Android input pipelines (IME, Accessibility, Autofill Framework) and Akamai-aware flows, and I can help design a human-equivalent, policy-safe autofill approach that behaves like genuine user input rather than brittle automation. My focus would be on identifying exactly which input signals are triggering detection and restructuring the flow to pass validation consistently without breaking the site or future updates. Looking forward for your positive response in the chatbox. Best Regards, Hassan H

@shakilan4

Hi, I can help within compliant and ethical boundaries, but I can’t assist with bypassing or evading Akamai Bot Detection or simulating sensor data to defeat safeguards. What I can do is help you achieve reliable autofill without triggering defenses by: Re-architecting around Android’s official Autofill Framework / Accessibility-safe flows so inputs originate from OS-trusted paths. Designing a human-in-the-loop or permissioned flow (e.g., user-initiated paste/confirm patterns) that Akamai typically allows. Working with the target site (or an authorized proxy) to use supported APIs, allowlists, or bot-friendly endpoints. Profiling where false positives arise (IME vs. accessibility vs. focus events) and reducing flags through UX and event sequencing that stays within policy. Providing a risk assessment and alternatives (deep links, prefilled intents, server-side submissions where permitted). If you’re open to a policy-compliant solution that still meets your product goals, I can review your current GeckoView/IME setup and propose a safe path forward. Best regards, Shakila Naz

@Shrutibimpl

Hello, I will develop a robust, undetectable autofill mechanism for your Geckoview-based Android application that bypasses Akamai's bot detection on text input. My approach will focus on creating a highly realistic input simulation that mimics genuine human-finger-typing behavior. I will investigate and utilize a deep-level Android/Geckoview API to generate input events that include natural, non-linear delays and realistic touch pressure data, making the commitText() method's synthetic nature invisible to the Akamai sensor. I will prioritize this direct simulation method first. If necessary, I will explore collecting and injecting Akamai's specific sensor data to establish a valid input session that legitimizes the autofill sequence. What is the highest acceptable total latency (in milliseconds) for a complete form autofill sequence? What is the specific version of Mozilla's Geckoview library that you are currently using? Are you able to successfully intercept and analyze the JavaScript code or network requests related to Akamai's client-side sensor? Thanks, Bharat

@oleksandrf3

I NEVER USE AI FOR BIDDING! You need an Android autofill solution that passes Akamai bot detection, specifically for input methods—not just clicks. I've worked with Akamai sensor data and built automation that bypasses their bot defenses in both mobile and web environments. Looking forward to discussing more details. Stack: Akamai sensor analysis, Geckoview automation, Android custom IME, AccessibilityService, Touch event emulation, Android native (Java/Kotlin), Sensor spoofing techniques

@mayankinnovative

Hello, INSECURE BOT PROTECTION AND ANDROID APP RISKS Your project needs expert implementation of **Akamai bot detection** alongside Android development, but without proper bot mitigation strategies and secure Android logic, your platform may remain vulnerable to automated attacks, fake traffic, and abuse. Additionally, Android features tied to this protection may not function reliably without a cohesive security approach. AKAMAI BOT DETECTION EXPERTISE AND ANDROID DEVELOPMENT I will integrate Akamai’s bot detection solutions to defend your web services against malicious or automated traffic, configure proper rulesets, thresholds, and monitoring dashboards, and ensure false positives are minimized. Alongside this, I will handle the Android development tasks you require, implementing secure API interactions, session management, and client logic that aligns with server-side protections. This approach ensures your Android app and backend work together securely and efficiently. SECURE BOT MITIGATION WITH RELIABLE ANDROID FEATURES The result will be a hardened platform with robust bot protection that improves traffic quality and defends key endpoints, along with an Android app that interacts securely with your backend. Users and systems will benefit from reduced abuse, improved performance, and reliable feature delivery. Thank you

@jagratip3

I can’t help with techniques to evade or defeat Akamai Bot Detection, collect its sensor data, or simulate human input to bypass a site’s safeguards. That would be assisting in the circumvention of a service’s security controls. What I can do is help you move forward in compliant, production-safe ways that often achieve the same business outcome without triggering bot defenses: Legitimate alternatives to consider Use Android’s Autofill Framework (AutofillService) This is the OS-level, user-consented mechanism specifically designed for form filling. It’s trusted by browsers and many protected sites because it mirrors real user intent and accessibility patterns. Works with GeckoView when properly integrated. Partner / Whitelist with the Site Owner Many Akamai-protected sites whitelist known apps, user agents, or IP ranges for legitimate automation or assisted entry. If this is for enterprise or internal tooling, this is the cleanest path. Official APIs or Deep Links If the site offers APIs (even private/partner ones), move form submission server-side and use the app only as a UI. This completely avoids browser-level bot heuristics. User-assisted flows Let users explicitly trigger autofill via standard input methods (password-manager style), rather than background automation. If you want to proceed in one of these directions, let me know which path fits your use case and constraints.

@shoaibali384

Greetings, I read your job post and understand your requirements. You need an autofill solution for an Android app that passes Akamai Bot Detection while using GeckoView. I can develop a human-like text input mechanism that: Simulates realistic typing with randomized delays and pointer dynamics Uses GeckoView and a custom IME so input appears fully manual Passes Akamai’s sensor checks while clicks continue to work smoothly Deliverables: Fully functional autofill module integrated into your app Documentation for future maintenance I have experience with GeckoView, custom IMEs, and strict bot detection systems, and can implement a seamless, secure solution. Regards, Shoaib

@Aurallian

Dear Client, I understand your challenge with Akamai bot detection and appreciate the complexity involved in developing an autofill mechanism for text inputs in your Android app using Geckoview. My experience in creating custom input methods and mimicking user behavior will be instrumental in bypassing the Akamai sensor data detection successfully. I have a proven track record of overcoming similar obstacles in web automation projects and possess the technical expertise required to implement a seamless autofill solution for your app. Let's discuss how we can achieve your goal effectively. Looking forward to collaborating with you on this project. Best regards, Aurallian

@realroshan102

Hi, I understand the challenge you're facing with Akamai bot detection in your Android app that autofills forms on a third-party website. With extensive experience in Android development and automation, including bypassing advanced bot detection systems, I can create an autofill mechanism that mimics human input seamlessly. By analyzing Akamai sensor data or leveraging alternative input methods beyond current attempts, I will ensure undetectable and smooth input that passes all validations. Let's discuss how we can achieve this with a timeline to deliver a robust solution promptly. Could you share more details about the current input fields and any error messages or detection logs you have encountered from Akamai? Best regards, Roshan

@eduardos912

Hi! I understand you’re looking for an Akamai bot detection expert to help protect your web assets by identifying and mitigating unwanted bot traffic while preserving good user experiences. This requires more than flip‑flop rules — it means tuning Akamai Bot Manager/Client Reputation, setting the right detection policies, analyzing traffic patterns, and applying adaptive defenses so malicious automation is blocked and real users aren’t impacted. I specialize in Akamai security and bot mitigation, including bot scoring, anomaly detection, custom match/behavior rules, logging/analytics integration, and false‑positive tuning. I’ll begin with a traffic audit to understand normal vs bot signatures, configure or refine your Akamai policies (Bot Manager, Kona Site Defender, EdgeWorkers where needed), and set up reporting/alerting so you can monitor activity and adjustments over time. My focus is on measurable reduction of unwanted bot hits, clear documentation of policies, and maintainable configurations that align with your traffic patterns and business goals. Let’s review your current Akamai setup and bot challenges so we can scope the first improvements! Regards, Eduardo

@Jaswinderkdevbi1

Hello, I am a Mobile App Developer with 15+ years of experience, specializing in building high-quality, user-friendly, and feature-rich applications for both Android and iOS platforms. I create apps with modern UI/UX, smooth performance, and cross-platform compatibility to ensure the best user experience. My expertise includes custom mobile apps, API integration, push notifications, real-time features, and app optimization. Recently, I also worked on OpenAI API integration for auto-generated content, images, and social sharing, which shows my ability to adopt the latest technologies in mobile solutions. If you are looking for a dedicated Mobile App Developer who ensures quality, innovation, and timely delivery, I’d be glad to work on your project.

@zaheermoe

Hi there, I understand your need for developing an autofill mechanism to bypass Akamai bot detection for your Android app using Geckoview. With my extensive experience in web automation and expertise in working around bot detection systems, I am confident in my ability to tackle this challenge. My skills in Android development, user interface interactions, and problem-solving make me a great fit for this project. I have successfully navigated similar obstacles in the past. One strategy we could explore is to leverage machine learning algorithms to analyze and mimic human input patterns, creating a more human-like autofill process. Let's discuss how we can proceed with this solution. I'm available to start working on this project immediately. Best, Zaheer Mahomed

@artemb35

Hi there, I understand that your main goal is to implement robust Akamai bot detection alongside effective Android development to enhance your application's security and performance. In my previous role, I successfully integrated Akamai's bot management solutions for a leading e-commerce platform, reducing fraudulent traffic by 40% and enhancing overall site security. Additionally, I developed and optimized several Android applications, resulting in a 25% increase in user engagement. To address your needs, I will implement Akamai's bot detection features tailored to your specific application requirements while simultaneously developing an Android app that ensures seamless user experiences and high performance. My approach will include rigorous testing and optimization to guarantee both security and usability across all devices. I would be happy to discuss your needs and get started right away. Best regards, Artem