A comprehensive list of Data Scienceprojects we worked on
BroutonLab has worked on a wide range of Data Science projects, from production-ready SaaS to MVPs and prototypes. Check out the list below for a more detailed look into our experience and expertise, and, hopefully, get inspired to add intelligence to your business with us.
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OCR Cheque Reader for a Banking App
Extracting handwritten text from pictures of cheques. Automated the workflow for a bank in Marocco. Reduced the time needed to go through the cheques manually. Achieved the accuracy of 99%.
Anomaly Detection in Solar Panels
Detect anomalies (darker or lighter spots) in thermal photos of solar batteries, which are essentially matrixes of panels. OpenCV is used for image preprocessing and extraction of the panel contours. After that, anomaly detection is performed for each of the panels using the Kaze detector.
Horse Race Outcome Prediction
Predict the outcome of a horse race given the horse's characteristics, its trainer and jockey, as well as race and weather conditions. The pairwise approach is employed for determining the race winner with an XGBoost model. The resulting model achieves a 32% successful prediction rate.
Custom Text-to-Speech Model
Train a text-to-speech (TTS) model able to generate voice from the given text. Facebook VoiceLoop model is used as the basis with further manual selective layer freezing and retraining for new speakers. The dataset for training is collected from YouTube and further processed with ffmpeg to achieve the best performance while training.
Explicit Content Detection Model
Developed a model to detect explicit content in images. Works in real-time even on mobile devices without a GPU. Has multiple settings to change what is considered NSFW. Outperforms the NSFW model made by Yahoo.
Web Application for Medical Data Analytics
Web-service for medical data visualization and analysis for improving skills of athletes