Budget: 27000 UAH Deadline: 10 days
I will develop an application on Flutter for counting beats based on sound using audio DSP. I have experience in creating mobile applications, particularly in audio signal processing.
I work at a rate of $15/hour.
I am ready to discuss the project details.
Budget: 13000 UAH Deadline: 1 day
This is exactly the type of task where "tweaking the code" is not enough — it is necessary to properly refine the approach to audio processing.
Judging by the description, you have a classic set of problems for real-time audio detection:
• noise triggers (background, echo, breathing)
• double triggering due to reverberation/reflection of sound
• misses due to weak signal or failed thresholds
• degradation of accuracy with frequent hits
Such issues cannot be solved with a single if — it is necessary to correctly build the pipeline: filtering → feature extraction → decision logic.
At Mobiwolf, we have already worked on tasks where real-time signal processing is important, and our value here is not just to "finish it," but to bring it to a stable, predictable result on different devices.
What we would do:
• analyze the current algorithm and the reasons for false positives/misses
• introduce signal normalization + adaptive threshold
• add debounce/cooldown logic to avoid double triggers
• if necessary — use FFT or band-pass filters to cut off irrelevant frequencies
• test on different scenarios (silence/noise/quick hits)
• if needed — consider a lightweight ML approach (but only if it really provides a benefit)
An important point: we will not complicate the solution without reason — the goal is stability and accuracy, not "ML for the sake of ML."
I am the CEO of Mobiwolf, and for such tasks, I involve a developer with experience in audio/signals. But I must honestly state: the team is currently busy, and we will be able to fully start in about 3 weeks. However, we can immediately approach the task correctly and not waste your time on iterations of "we tried — it doesn't work."
Before moving forward, I would like to clarify:
• are there recordings (audio) with examples of correct and incorrect triggers?
• has the algorithm been tested on different devices (Android/iOS, various microphones)?
• what is the current detection logic — amplitude threshold or something more complex?
• is latency critical (for example,
Budget: 7000 UAH Deadline: 5 days
Hello! I have experience in developing mobile applications on Flutter, I can help you solve your task.
Budget: 12345 UAH Deadline: 1 day
Hello, I have experience working with Flutter and native features.
Write to me in private.
I will be happy to help you!
