PROJECT OBJECTIVE:
Design a ML/DL based chatbot utility which can help the professionals to highlight the safety risk as per the incident description. • PROJECT TASK: [ Duration: 6 weeks, Score: 100 points]
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Milestone 1: [ Duration: 2 weeks, Score: 20 points] ‣ Input: Interim report ‣ Process: ‣ Step 1: Import the data ‣ Step 2: Data cleansing ‣ Step 3: Data preprocessing ‣ Step 4: Data preparation to be used for AIML model learning ‣ Output: Clean data as .xlsx or .csv file to be used for AIML model learning
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Milestone 2: [ Duration: 2 weeks, Score: 20 points] ‣ Input: Output of milestone 1 ‣ Process: ‣ Step 1: NLP pre processing ‣ Step 2: Design, train and test machine learning classifiers ‣ Step 3: Design, train and test Neural networks classifiers ‣ Step 4: Design, train and test RNN or LSTM classifiers ‣ Step 5: Choose the best performing model classifier and pickle it. ‣ Output: Pickled model to be used for future prediction ‣ Submission: Interim report
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Milestone 3: [ Duration: 2 weeks, Score: 60 points] ‣ Input: Pickled model from milestone 2 ‣ Process: [ 15 points ] ‣ Step 1: Design a clickable UI which can automate tasks performed under milestone 1 [ 5 points ] ‣ Step 2: Design a clickable UI which can automate tasks performed under milestone 2 [ 5 points ] ‣ Step 3: Design a clickable UI based chatbot interface [ 5 points ] ‣ Output: Clickable UI based chatbot interface which accepts text as input and replies back with relevant answers. ‣ Submission: Final report [ 45 points ]