COMPUTERRESEARCH Telegram 4598
Forwarded from کانال آموزش های دانشگاهی (Mahdi Saadati)
۶ پروژه هوش مصنوعی به همراه کد

1⃣ تشخیص عیب محصول
Plant-Disease-Detection

Plant Disease Detection is one of the mind boggling issue that exits when we talk about using Technology in Agriculture.Although researches has been done to detect weather a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniquies are still being discovered.

Here is my approach for Detecting weather a plant leaf is healthy or unhealthy by utilising classical Machine Learning Algorithm , Pre-processing the data using Image Processing.
https://github.com/mehra-deepak/Plant-Disease-Detection

2⃣ پیش بینی تقاضای کالای فروشگاه
Store-Item-Demand-Forecasting-Challenge
https://github.com/jhihan/Store-Item-Demand-Forecasting-Challenge

3⃣ تشخیص ژست انسان
Human Pose Detection : Real-time multi-person keypoint detection library for body, face, hands, and foot
https://github.com/CMU-Perceptual-Computing-Lab/openpose estimation

4⃣ دستیار تایپ
Typing-Assistant  Typing Assistant provides the ability to autocomplete words and suggests predictions for the next word. This makes typing faster, more intelligent and reduces effort.
https://github.com/starlordvk/Typing-Assistant

5⃣ تشخیص سرطان سینه
Breast-Cancer-Detection-using-Deep-Learning  Experiments to show the usage of deep learning to detect breast cancer from breast histopathology images
https://github.com/sayakpaul/Breast-Cancer-Detection-using-Deep-Learning

6⃣ تشخیص جنسیت از روی صدا
gender-recognition-by-voice  Identify a voice as male or female.
https://github.com/PrathamSolanki/gender-recognition-by-voice
#هوش_مصنوعی
@Mazums_AI



tgoop.com/ComputerResearch/4598
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۶ پروژه هوش مصنوعی به همراه کد

1⃣ تشخیص عیب محصول
Plant-Disease-Detection

Plant Disease Detection is one of the mind boggling issue that exits when we talk about using Technology in Agriculture.Although researches has been done to detect weather a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniquies are still being discovered.

Here is my approach for Detecting weather a plant leaf is healthy or unhealthy by utilising classical Machine Learning Algorithm , Pre-processing the data using Image Processing.
https://github.com/mehra-deepak/Plant-Disease-Detection

2⃣ پیش بینی تقاضای کالای فروشگاه
Store-Item-Demand-Forecasting-Challenge
https://github.com/jhihan/Store-Item-Demand-Forecasting-Challenge

3⃣ تشخیص ژست انسان
Human Pose Detection : Real-time multi-person keypoint detection library for body, face, hands, and foot
https://github.com/CMU-Perceptual-Computing-Lab/openpose estimation

4⃣ دستیار تایپ
Typing-Assistant  Typing Assistant provides the ability to autocomplete words and suggests predictions for the next word. This makes typing faster, more intelligent and reduces effort.
https://github.com/starlordvk/Typing-Assistant

5⃣ تشخیص سرطان سینه
Breast-Cancer-Detection-using-Deep-Learning  Experiments to show the usage of deep learning to detect breast cancer from breast histopathology images
https://github.com/sayakpaul/Breast-Cancer-Detection-using-Deep-Learning

6⃣ تشخیص جنسیت از روی صدا
gender-recognition-by-voice  Identify a voice as male or female.
https://github.com/PrathamSolanki/gender-recognition-by-voice
#هوش_مصنوعی
@Mazums_AI

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Deputy District Judge Peter Hui sentenced computer technician Ng Man-ho on Thursday, a month after the 27-year-old, who ran a Telegram group called SUCK Channel, was found guilty of seven charges of conspiring to incite others to commit illegal acts during the 2019 extradition bill protests and subsequent months. The main design elements of your Telegram channel include a name, bio (brief description), and avatar. Your bio should be: The Standard Channel During the meeting with TSE Minister Edson Fachin, Perekopsky also mentioned the TSE channel on the platform as one of the firm's key success stories. Launched as part of the company's commitments to tackle the spread of fake news in Brazil, the verified channel has attracted more than 184,000 members in less than a month. So far, more than a dozen different members have contributed to the group, posting voice notes of themselves screaming, yelling, groaning, and wailing in various pitches and rhythms.
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