As part of its commitment to advancing artificial intelligence and computer vision technologies, FindIT introduces its first application—a game-based platform within Telegram Mini Apps. This product serves as an experimental environment for integrating computer vision algorithms, allowing users to interact with AI in a gamified format while simultaneously contributing to the improvement of object recognition technologies.
📌 Game Mechanics and How It Works
The application is powered by neural network-based image analysis algorithms. Users receive tasks to find specific objects in their real environment and capture them using their device’s camera. Uploaded images are processed in real time by a computer vision system, which analyzes the image, identifies objects, and verifies their compliance with the given criteria.
Core steps of the application:
1️⃣ Task assignment – The system requests the user to find a particular object (e.g., a car, chair, or dog).
2️⃣ Object capture – The user takes a photo via the built-in Telegram Mini App interface.
3️⃣ Image processing – Machine vision algorithms analyze the image using convolutional neural networks (CNN).
4️⃣ Score allocation – If the object is correctly identified, the user earns points that contribute to their in-game ranking.
🚀 Why Telegram? How Does It Help Advance Technology?
Telegram Mini Apps were chosen due to their seamless integration with the platform’s community and the ability to provide instant access without requiring additional installations. This ensures scalability and broad user engagement, allowing participants to actively contribute to the training of machine learning models.
Each user interaction helps improve computer vision algorithms, as the collected data is used to enhance object recognition accuracy and model efficiency.
💡 User Participation and Reward System
By participating in the platform, users do more than just engage with AI—they actively contribute to the advancement of object recognition technology. As part of the project’s economic model, a portion of the startup’s assets will be distributed among active participants.
🔹 No advertisements or donations – The project is fully funded by investors rather than users.
🔹 Users receive rewards for active participation in the application.
🔹 Gamified interactions generate training datasets, improving the accuracy of machine vision algorithms.
📢 What’s Next?
The Telegram application is just the first step in the broader development of computer vision technologies. Future stages will include:
- Optimizing image processing algorithms to enhance object recognition accuracy.
- Integrating additional features for extended visual data analysis.
- Expanding beyond gamification to incorporate practical applications for AI-powered object recognition.
FindIT’s Telegram app not only engages a community but also lays the foundation for more advanced applications in machine vision, bridging the gap between entertainment and cutting-edge AI research.