WBCHSE HS Artificial Intelligence & Data Science case studies
WBCHSE HS Artificial Intelligence & Data Science · Put your knowledge to work in context.
The WBCHSE Higher Secondary Artificial Intelligence and Data Science is a Class XI–XII subject under the West Bengal Council of Higher Secondary Education. It gives school students a practical first layer of data literacy: how data is collected, cleaned, summarised and plotted, and how simple models are trained and evaluated on it. The treatment is applied rather than theoretical - you are expected to write and read Python, not just describe it. The subject suits students who like working with numbers and patterns and who intend to move into computer science, statistics, engineering, economics or any field where evidence-based decisions matter. The WBCHSE HS Artificial Intelligence & Data Science case studies are 5 cases and about 4,352 words.
1The 92% Model That Catches Almost No Failures
A coaching centre in Siliguri has three years of records for 4,800 students who sat its final mock test. Only 384 (8%) failed.
867 words, about 4 min2Three Exports, One Grocery Store, and a Chart That Lies
A student team is helping a neighbourhood grocery store that sells at its till and on two delivery apps. The three CSV exports hold 2,140, 860 and 515 rows.
885 words, about 4 min3Sentiment on Romanised Bengali Reviews
An ed-tech startup has 3,200 free-text course reviews written by Bengali-speaking learners. Most write Bengali words in Roman script mixed with English, for example 'porikkha ta khub hard chilo, teacher bhalo chilen'.
882 words, about 4 min499% on Train, 61% on Validation, and a 95% Claim to Farmers
An agricultural college in Nadia district is building a paddy leaf-disease classifier for a farmers' cooperative. The dataset has 1,200 phone photos spread over five classes, but only 90 images of the rarest class, bacterial blight.
796 words, about 4 min5The Dropout-Risk Dashboard and the Journalist's Request
A district education office in West Bengal plans a pilot in 40 government secondary schools covering about 18,000 students. A vendor's model gives each student a 0-100 'dropout risk' score.
922 words, about 5 min