Hey there,
I am a certified python (pcapp) / machine learning programmer with five years of industrial experience. I see that you want to classify flowers into different five categories. You want manual feature extraction using HOG,SIFT and SURF with 75/25 split. In the end, all of this in a web application using python. I shall use flask framework for connecting python with GUI built using state-of-the-art tool. I can do this for you well before your deadline since I have the expertise and research experience in this domain. For model accurate performance, I shall use k-fold cross validation with k = 5 for accurate performance measure. I shall give you higher accuracy.
#Skills:
> Image processing, Classification, Clustering, Segmentation, Localization & Detection, OCR.
> Time Series Analysis, Multi-Step Time series Analysis.
> Training and Mentoring, Data Visualization, Learning Curves
> ML Algorithms, ML Model Development, Deep Learning and Data/Text Mining
#Core Libraries:
> tensorflow-keras, opencv, scikit-learn, PIL, matplotlib, tesseract, numpy, pandas, etc.,
P.S. I have journal and conference publications on the aforementioned topics. I also have an MS degree in this field. Currently, I am working in a research lab as a python/c/c++ developer for anomaly detection using ML in high speed networks.
Best regards,