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Usage of AI for disabled

 Below is a summary of areas which has potential to use " AI / ML / DL" for disabled [AI] l    Assistive Communication l    Visual Assistance l    Accessible Interfaces. l    Prosthetics and Mobility Aids l    Augmentative and Alternative Communication (AAC) l    Personalized Learning l    Assistive Technologies   [ML] l    Gesture Recognition l    Predictive Text and Word Prediction l    Activity Recognition l    Emotion Recognition l    Assistive Robotics l    Personalized Rehabilitation l    Accessibility Features   [DL] l    Computer Vision for Object Recognition l    Sign Language Recognition l    Assistive Technologies for Blindness l    EEG-based Brain-Computer Interfaces (BCIs) l    Speech Recognition and Natural Language Processi...
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Prediction of trend of Stock Price (of coming 7..10 days)

  Approach : Regression (predict change of status (Rise/Drop), with estimated range) Regression, based on parameter of previous 30 days, 60 days, or 90 days Historical records of f particular stock   Interface with “Stocks API” to automate the process Steps of analysis         1. Collect data, records of below fields of previous 30 days [Features] Max, Min, open, close Status (Drop/Rise com pared with previous date) Number of successive da ys of drop or rise Total # of lots of tr ansaction (purchase, sold), total amount of transaction (purchase, sold). total # of transaction (purchase, sold, eg: 1 transaction may involve 20 logs of transaction)   [Output, compared with previous day]   Status (rise / drop) % of change of stock price (rise / drop) 2.      Conduct correlation analysis of above fields 3.          Based on result of correlation analysis, select fields (features) for analysis...
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自修溫習｜港大醫科生研溫書App(筆記系統化助「主動回憶」)( 部份轉載)

生成式人工智能（ GenAI ）狂潮帶動愈來愈多的創新應用，有兩位港大醫科生早前研究利用 GenAI 製作記憶卡片（ Flashcard ），提升學習及溫習成效。。 僅靠手抄＋重讀方式較被動 面對着醫科的知識量龐大，早前即使用了記憶卡片來提升溫習成效，也是用手抄方式，逐張由人手製作，每次動輒花上數小時。而且，是比較「被動的方式溫書」，只是不停「輸入」（對着課堂筆記或課本來寫記憶卡）並透過重讀來讓自己有熟習的錯覺。 GenAI 系統化筆記後思考＋輸出有用資料 於是，想到利用經科學研究及證實的主動回憶技巧，配合 GenAI 來改善這此痛點，研發 AI 學習應用程式 PDF2Anki 。透過程式，「在輸入資料之後還要思考，自己再從腦袋中輸出有用資料」，讓腦袋判斷這些為實用資訊，並將其真正記住，鞏固長期記憶。 ▲  PDF2Anki 能分析由用戶提供的文本學習內容，再抽出學習重點及生成記憶卡片，節省手抄筆記時間。程式採用多個 AI 語言模型，包括 GPT-4 、 Anthropic Claude Opus 和 Llama 3 ，可利用各模型的長處應對需求，在醫科知識的可靠準確率達 90% 。 使用前學會輸入指令 , 減錯誤機率 平台並非從互聯網提取資料，而是分析由用戶提供的文本學習內容再生成 Flashcard ，有助確保知識的準確度，大幅減少出錯機會。雖然早前實測時，發現 AI 可能會生成一些毫不相干的問答題，但他分享只要在使用前學會如何輸入指令（ prompts ），就可大大減低錯誤機率。 平台另有改良系統的無障礙設計及介面，以支援視障人士使用，並且幫助專注力失調及過度活躍症（ ADHD ）學生將複雜的資料分拆成更小、更易於掌握的部分，加強組織感，減少處理複雜資訊時的壓力。 基礎版用戶可以上載不大於 50MB 的 PDF 檔案，系統將視乎用戶的設定及學習風格，如是否需要繙譯或問多點關於定義方面的問題、設定語言等，再抽出學習重點及生成記憶卡，之後即可開始溫習。
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Use Polynomial Regression (Machine Learning) to predict Total Fresh Water Consumption

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  Base on statistical data (stat data about tourist and hotel room occupation) which can be downloaded from related web site of Hong Kong, use  Polynomial Regression  (algorithm of Machine Learning) to predict monthly total meter consumption of fresh water in Hong Kong.   1.       DataSet Below is part of dataset to be used for analysis Columns are label as below: l     A1 to A11         (Raw value) l     X1 to X11          (Normalized Value) l     Y2 (Normalized Value of total water consumption) 2.       Result of correlation Use API of Python to check correlation among columns, below is the result of correlation among different columns (An, Xn, Y2) Figure 1 : Result of correlation (“Ax” w.r.t. Y1, Y2) Figure 2 : Result of correlation (“Xx” w.r.t. Y1, Y2) Based of result indicated above, X3,X8, X11 (or A...
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