A study investigates the probability of self-harm or suicide from social media posts on Twitter Using ML and Deep Learning. 

• Conducted research to analyse social media data from Twitter and applied various ML and deep learning techniques.
• Developed a model to identify individuals at risk and predict suicide chances based on social media activity.
• Leveraged Python, TensorFlow, and NLP techniques to analyse Twitter data, building a predictive model with 65% accuracy in identifying suicide risk factors.

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