• Created a file big.txt using apache Tika from all html files indexed in solr on which the user will issue queries.

• This big.txt contains all the keywords used for spelling corrections.

• Provided big.txt file as an input to Norvig SpellCorrector.php program.

• Passed the query words entered by user to SpellCorrector.php program and in the case of conflicts displayed the message of "Showing results for X instead of Y" where Y was user query and X was returned result by SpellCorrector.php program.

• Used default AJAX autocomplete functionality for autocomplete-Called proxy.php file which fetched JSON results from solr, returning 5 suggestions for a user entered query.

• Converted html page data to text for snippet generation using simple_html_dom.php.

• Text data was then split on full stops and later based on individual query terms for getting first match sentence for the user query.