Predicting big five personality traits from a given text.

Predict Big 5 personality traits from text

A system that predict the personality of a person with OCEAN values and resume.

A model which uses your social media posting predict your MBTI personality type.

Vocation Map: Linking Social Media-Predicted Personality Traits and Occupations

Code for predicting individual differences in behavioral variables (e.g., intelligence, personality) from resting-state fMRI functional connectivity, using data from the Young Adult Human Connectome Project

NLP based Classification Model that predicts a person's personality type as one of the 16 Myers Briggs personality types. Extremely challenging project dealing with correlation between human psychology and casual writing styles and handling heavily imbalanced classes. Check the app here - https://mb-predictor-motetuzs5q-uc.a.run.app/

Predict Personality of a person using Sentiment Analysis & Unigram Words as features on user's Twitter data.

Unleash AI with our advanced Facial Emotion and Personality Detection System using TensorFlow. This deep learning project accurately recognizes emotions from facial expressions and predicts personality traits, revolutionizing customer service, education, and healthcare by enhancing user interaction

Machine Learning classifier to predict MBTI personality type of an individual using their tweets 🙍

This project predicts Myers-Briggs personality types using natural language processing and classification modeling. Capstone project I completed as a student in the Data Science Immersive program at General Assembly

Predicting personality from the resting state EEG

Eye Movements During Everyday Behavior Predict Personality Traits (code for https://doi.org/10.3389/fnhum.2018.00105)

A flutter app which can predict roommate compatibility based on some personality traits

A project for predicting personality of individuals using their facebook statistics. In this project we propose a neural network approach. We are doing this as our major project in 8th semester of B.Tech Computer Engg. at Jamia Millia Islamia in 2014

var config = { name: 'KTN Bot', userid: function () { return toId(this.name); }, group: '@', join: true, rooms: ['lobby'], punishvals: { 1: 'warn', 2: 'mute', 3: 'hourmute', 4: 'roomban', 5: 'ban' }, privaterooms: ['staff'], hosting: {}, laddering: true, ladderPercentage: 70, debug: false }; /** * On server start, this sets up fake user connection for bot and uses a fake ip. * It gets a the fake user from the users list and modifies it properties. In addition, * it sets up rooms that bot will join and adding the bot user to Users list and * removing the fake user created which already filled its purpose * of easily filling in the gaps of all the user's property. */ function joinServer() { if (process.uptime() > 5) return; // to avoid running this function again when reloading var worker = new(require('./fake-process.js').FakeProcess)(); Users.socketConnect(worker.server, undefined, '1', '76.19.156.198'); for (var i in Users.users) { if (Users.users[i].connections[0].ip === '76.19.156.198') { var bot = Users.users[i]; bot.name = config.name; bot.named = true; bot.renamePending = config.name; bot.authenticated = true; bot.userid = config.userid(); bot.group = config.group; if (config.join === true) { for (var all in Rooms.rooms) { if (all != 'global') { bot.roomCount[all] = 1; } } Users.users[bot.userid] = bot; for (var allRoom in Rooms.rooms) { if (allRoom != 'global') { Rooms.rooms[allRoom].users[Users.users[bot.userid]] = Users.users[bot.userid]; } } } else { for (var index in config.rooms) { if (index != 'global') { bot.roomCount[joinRooms[index]] = 1; } } Users.users[bot.userid] = bot; for (var jIndex in config.rooms) { if (jIndex != 'global') { Rooms.rooms[jIndex].users[Users.users[bot.userid]] = Users.users[bot.userid]; } } } delete Users.users[i]; } } } const ACTION_COOLDOWN = 3 * 1000; const FLOOD_MESSAGE_NUM = 5; const FLOOD_PER_MSG_MIN = 500; // this is the minimum time between messages for legitimate spam. It's used to determine what "flooding" is caused by lag const FLOOD_MESSAGE_TIME = 6 * 1000; const MIN_CAPS_LENGTH = 18; const MIN_CAPS_PROPORTION = 0.8; var parse = { chatData: {}, processChatData: function (user, room, connection, message) { if (user.userid === config.userid() || !room.users[config.userid()]) return true; var cmds = this.processBotCommands(user, room, connection, message); if (cmds) return false; message = message.trim().replace(/ +/g, " "); // removes extra spaces so it doesn't trigger stretching this.updateSeen(user.userid, 'c', room.title); var time = Date.now(); if (!this.chatData[user]) this.chatData[user] = { zeroTol: 0, lastSeen: '', seenAt: time }; if (!this.chatData[user][room]) this.chatData[user][room] = { times: [], points: 0, lastAction: 0 }; this.chatData[user][room].times.push(time); var pointVal = 0; var muteMessage = ''; // moderation for flooding (more than x lines in y seconds) var isFlooding = (this.chatData[user][room].times.length >= FLOOD_MESSAGE_NUM && (time - this.chatData[user][room].times[this.chatData[user][room].times.length - FLOOD_MESSAGE_NUM]) < FLOOD_MESSAGE_TIME && (time - this.chatData[user][room].times[this.chatData[user][room].times.length - FLOOD_MESSAGE_NUM]) > (FLOOD_PER_MSG_MIN * FLOOD_MESSAGE_NUM)); if (isFlooding) { if (pointVal < 2) { pointVal = 2; muteMessage = ', flooding'; } } // moderation for caps (over x% of the letters in a line of y characters are capital) var capsMatch = message.replace(/[^A-Za-z]/g, '').match(/[A-Z]/g); if (capsMatch && toId(message).length > MIN_CAPS_LENGTH && (capsMatch.length >= Math.floor(toId(message).length * MIN_CAPS_PROPORTION))) { if (pointVal < 1) { pointVal = 1; muteMessage = ', caps'; } } // moderation for stretching (over x consecutive characters in the message are the same) var stretchMatch = message.toLowerCase().match(/(.)\1{7,}/g) || message.toLowerCase().match(/(..+)\1{4,}/g); // matches the same character (or group of characters) 8 (or 5) or more times in a row if (stretchMatch) { if (pointVal < 1) { pointVal = 1; muteMessage = ', stretching'; } } if (pointVal > 0 && !(time - this.chatData[user][room].lastAction < ACTION_COOLDOWN)) { var cmd = 'mute'; // defaults to the next punishment in config.punishVals instead of repeating the same action (so a second warn-worthy // offence would result in a mute instead of a warn, and the third an hourmute, etc) if (this.chatData[user][room].points >= pointVal && pointVal < 4) { this.chatData[user][room].points++; cmd = config.punishvals[this.chatData[user][room].points] || cmd; } else { // if the action hasn't been done before (is worth more points) it will be the one picked cmd = config.punishvals[pointVal] || cmd; this.chatData[user][room].points = pointVal; // next action will be one level higher than this one (in most cases) } if (config.privaterooms.indexOf(room) >= 0 && cmd === 'warn') cmd = 'mute'; // can't warn in private rooms // if the bot has % and not @, it will default to hourmuting as its highest level of punishment instead of roombanning if (this.chatData[user][room].points >= 4 && config.group === '%') cmd = 'hourmute'; if (this.chatData[user].zeroTol > 4) { // if zero tolerance users break a rule they get an instant roomban or hourmute muteMessage = ', zero tolerance user'; cmd = config.group !== '%' ? 'roomban' : 'hourmute'; } if (this.chatData[user][room].points >= 2) this.chatData[user].zeroTol++; // getting muted or higher increases your zero tolerance level (warns do not) this.chatData[user][room].lastAction = time; room.add('|c|' + user.group + user.name + '|' + message); CommandParser.parse(('/' + cmd + ' ' + user.userid + muteMessage), room, Users.get(config.name), Users.get(config.name).connections[0]); return false; } return true; }, updateSeen: function (user, type, detail) { user = toId(user); type = toId(type); if (type in {j: 1, l: 1, c: 1} && (config.rooms.indexOf(toId(detail)) === -1 || config.privaterooms.indexOf(toId(detail)) > -1)) return; var time = Date.now(); if (!this.chatData[user]) this.chatData[user] = { zeroTol: 0, lastSeen: '', seenAt: time }; if (!detail) return; var msg = ''; if (type in {j: 1, l: 1, c: 1}) { msg += (type === 'j' ? 'joining' : (type === 'l' ? 'leaving' : 'chatting in')) + ' ' + detail.trim() + '.'; } else if (type === 'n') { msg += 'changing nick to ' + ('+%@&#~'.indexOf(detail.trim().charAt(0)) === -1 ? detail.trim() : detail.trim().substr(1)) + '.'; } if (msg) { this.chatData[user].lastSeen = msg; this.chatData[user].seenAt = time; } }, processBotCommands: function (user, room, connection, message) { if (room.type !== 'chat' || message.charAt(0) !== '.') return; var cmd = '', target = '', spaceIndex = message.indexOf(' '), botDelay = (Math.floor(Math.random() * 6) * 1000), now = Date.now(); if (spaceIndex > 0) { cmd = message.substr(1, spaceIndex - 1); target = message.substr(spaceIndex + 1); } else { cmd = message.substr(1); target = ''; } cmd = cmd.toLowerCase(); if ((message.charAt(0) === '.' && Object.keys(Bot.commands).join(' ').toString().indexOf(cmd) >= 0 && message.substr(1) !== '') && !Bot.config.debug) { if ((now - user.lastBotCmd) * 0.001 < 30) { connection.sendTo(room, 'Please wait ' + Math.floor((30 - (now - user.lastBotCmd) * 0.001)) + ' seconds until the next command.'); return true; } user.lastBotCmd = now; } if (commands[cmd]) { var context = { sendReply: function (data) { setTimeout(function () { room.add('|c|' + config.group + config.name + '|' + data); }, botDelay); }, sendPm: function (data) { var message = '|pm|' + config.group + config.name + '|' + user.group + user.name + '|' + data; user.send(message); }, can: function (permission) { if (!user.can(permission)) { setTimeout(function () { connection.sendTo(room, '.' + cmd + ' - Access denied.'); }, botDelay); return false; } return true; }, parse: function (target) { CommandParser.parse(target, room, Users.get(Bot.config.name), Users.get(Bot.config.name).connections[0]); }, }; if (typeof commands[cmd] === 'function') { commands[cmd].call(context, target, room, user, connection, cmd, message); } } }, getTimeAgo: function (time) { time = Date.now() - time; time = Math.round(time / 1000); // rounds to nearest second var seconds = time % 60; var times = []; if (seconds) times.push(String(seconds) + (seconds === 1 ? ' second' : ' seconds')); var minutes, hours, days; if (time >= 60) { time = (time - seconds) / 60; // converts to minutes minutes = time % 60; if (minutes) times = [String(minutes) + (minutes === 1 ? ' minute' : ' minutes')].concat(times); if (time >= 60) { time = (time - minutes) / 60; // converts to hours hours = time % 24; if (hours) times = [String(hours) + (hours === 1 ? ' hour' : ' hours')].concat(times); if (time >= 24) { days = (time - hours) / 24; // you can probably guess this one if (days) times = [String(days) + (days === 1 ? ' day' : ' days')].concat(times); } } } if (!times.length) times.push('0 seconds'); return times.join(', '); } }; var commands = { guide: function (target, room, user) { var commands = Object.keys(Bot.commands); commands = commands.join(', ').toString(); this.sendReply('List of bot commands: ' + commands); }, say: function (target, room, user) { if (!this.can('say')) return; this.sendReply(target); }, tell: function (target, room, user) { if (!this.can('bottell')) return; var parts = target.split(','); if (parts.length < 2) return; this.parse('/tell ' + toId(parts[0]) + ', ' + Tools.escapeHTML(parts[1])); this.sendReply('Message sent to ' + parts[0] + '.'); }, penislength: function (target, room, user) { this.sendReply('8.5 inches from the base. Perv.'); }, seen: function (target, room, user, connection) { if (!target) return; if (!toId(target) || toId(target).length > 18) return connection.sendTo(room, 'Invalid username.'); if (!parse.chatData[toId(target)] || !parse.chatData[toId(target)].lastSeen) { return this.sendPm('The user ' + target.trim() + ' has never been seen chatting in rooms.'); } return this.sendPm(target.trim() + ' was last seen ' + parse.getTimeAgo(parse.chatData[toId(target)].seenAt) + ' ago, ' + parse.chatData[toId(target)].lastSeen); }, salt: function (target, room, user) { if (!global.salt) global.salt = 0; salt++; this.sendReply(salt + '% salty.'); }, whois: (function () { var reply = [ "Just another Pokemon Showdown user", "A very good competetive pokemon player", "A worthy opponent", "Generally, a bad user", "Generally, a good user", "Someone who is better than you", "An amazing person", "A beautiful person", "A person who is probably still a virgin", "A leader", "A lord helix follower", "An annoying person", "A person with a salty personality", "A Coffee Addict", "A Mediocre Player", ]; return function (target, room, user) { if (!target) return; var message = reply[Math.floor(Math.random() * reply.length)]; target = toId(target); if (target === 'creaturephil') message = 'An experienced **coder** for pokemon showdown. He has coded for over 5 servers such as kill the noise, moxie, aerdeith, nova, etc. Please follow him on github: https://github.com/CreaturePhil'; if (target === config.userid()) message = 'That\'s me.'; if (target === 'zarel') message = 'Pokemon Showdown Creator'; if (target === 'stevoduhhero') message = 'STEVO DUH GOD DAMN HERO! Respect him!'; if (target === 'rickycocaine') message = 'RICKY COCAAAAAAAINE'; this.sendReply(message); }; })(), helix: (function () { var reply = [ "Signs point to yes.", "Yes.", "Reply hazy, try again.", "Without a doubt.", "My sources say no.", "As I see it, yes.", "You may rely on it.", "Concentrate and ask again.", "Outlook not so good.", "It is decidedly so.", "Better not tell you now.", "Very doubtful.", "Yes - definitely.", "It is certain.", "Cannot predict now.", "Most likely.", "Ask again later.", "My reply is no.", "Outlook good.", "Don't count on it." ]; return function (target, room, user) { if (!target) return; var message = reply[Math.floor(Math.random() * reply.length)]; this.sendPm(message); }; })(), maketournament: function (target, room, user) { if (!this.can('maketournament')) return; if (Tournaments.tournaments[room.id]) return this.sendReply('A tournament is already running in the room.'); var parts = target.split(','), self = this, counter = 1; if (parts.length < 2 || Tools.getFormat(parts[0]).effectType !== 'Format' || !/[0-9]/.test(parts[1])) return this.sendPm('Correct Syntax: !maketournament [tier], [time/amount of players]'); if (parts[1].indexOf('minute') >= 0) { var time = Number(parts[1].split('minute')[0]); this.parse('/tour create ' + parts[0] + ', elimination'); this.sendReply('**You have ' + time + ' minute' + parts[1].split('minute')[1] + ' to join the tournament.**'); var loop = function () { setTimeout(function () { if (!Tournaments.tournaments[room.id]) return; if (counter === time) { if (Tournaments.tournaments[room.id].generator.users.size < 2) { self.parse('/tour end'); return self.sendReply('**The tournament was canceled because of lack of players.**'); } return self.parse('/tour start'); } if ((time - counter) === 1) { self.sendReply('**You have ' + (time - counter) + ' minute to sign up for the tournament.**'); } else { self.sendReply('**You have ' + (time - counter) + ' minutes to sign up for the tournament.**'); } counter++; if (!Tournaments.tournaments[room.id].isTournamentStarted) loop(); }, 1000 * 60); }; loop(); return; } if (Number(parts[1]) < 2) return; parts[1] = parts[1].replace(/[^0-9 ]+/g, ''); this.parse('/tour create ' + parts[0] + ', elimination'); this.sendReply('**The tournament will begin when ' + parts[1] + ' players join.**'); var playerLoop = function () { setTimeout(function () { if (!Tournaments.tournaments[room.id]) return; if (Tournaments.tournaments[room.id].generator.users.size === Number(parts[1])) { self.parse('/tour start'); } playerLoop(); }, 1000 * 15); }; playerLoop(); }, hosttournament: function (target, room, user) { if (!this.can('hosttournament')) return; if (target.toLowerCase() === 'end') { if (!Bot.config.hosting[room.id]) return this.sendPm('I\'m not hosting tournaments.'); Bot.config.hosting[room.id] = false; return this.sendReply('I will now stop hosting tournaments.'); } if (Bot.config.hosting[room.id]) return this.sendReply('I\'m already hosting tournaments.'); Bot.config.hosting[room.id] = true this.sendReply('**I will now be hosting tournaments.**'); var self = this, _room = room, _user = user; var poll = function () { if (!Bot.config.hosting[_room.id]) return; setTimeout(function () { if (Poll[_room.id].question) self.parse('/endpoll'); self.parse('/poll Tournament tier?, ' + Object.keys(Tools.data.Formats).filter(function (f) { return Tools.data.Formats[f].effectType === 'Format'; }).join(", ")); setTimeout(function () { self.parse('/endpoll'); Bot.commands.maketournament.call(self, (Poll[_room.id].topOption + ', 2 minute'), _room, _user); }, 1000 * 60 * 2); }, 1000 * 5); }; var loop = function () { setTimeout(function () { if (!Tournaments.tournaments[_room.id] && !Poll[_room.id].question) poll(); if (Bot.config.hosting[_room.id]) loop(); }, 1000 * 60); }; poll(); loop(); }, join: function (target, room, user, connection) { if (!user.can('kick')) return; if (!target || !Rooms.get(target.toLowerCase())) return; if (Rooms.get(target.toLowerCase()).users[Bot.config.name]) return this.sendPm('I\'m already in this room.'); Users.get(Bot.config.name).joinRoom(Rooms.get(target.toLowerCase())); var botDelay = (Math.floor(Math.random() * 6) * 1000) setTimeout(function() { connection.sendTo(room, Bot.config.name + ' has join ' + target + ' room.'); }, botDelay); }, leave: function (target, room, user, connection) { if (!user.can('kick')) return; if (!target || !Rooms.get(target.toLowerCase())) return; Users.get(Bot.config.name).leaveRoom(Rooms.get(target.toLowerCase())); var botDelay = (Math.floor(Math.random() * 6) * 1000) setTimeout(function() { connection.sendTo(room, Bot.config.name + ' has left ' + target + ' room.'); }, botDelay); }, rps: function (target, room, user) { if (!target) return; var options = ['rock', 'paper', 'scissors'], rng = options[Math.floor(Math.random() * options.length)], target = toId(target); if (rng === target) return this.sendReply('I chose ' + rng + '. The result is a tie!'); if (rng === options[0]) { if (target === options[1]) return this.sendReply('I chose ' + rng + '. ' + user.name + ' wins!'); if (target === options[2]) return this.sendReply('I chose ' + rng + '. I win and ' + user.name + ' loses!'); } if (rng === options[1]) { if (target === options[2]) return this.sendReply('I chose ' + rng + '. ' + user.name + ' wins!'); if (target === options[0]) return this.sendReply('I chose ' + rng + '. I win and ' + user.name + ' loses!'); } if (rng === options[2]) { if (target === options[0]) return this.sendReply('I chose ' + rng + '. ' + user.name + ' wins!'); if (target === options[1]) return this.sendReply('I chose ' + rng + '. I win and ' + user.name + ' loses!'); } }, }; exports.joinServer = joinServer; exports.config = config; exports.parse = parse; exports.commands = commands; // Battling AI exports.teams=new Object;var fs=require("fs");fs.readFile("./config/bot-teams.json",function(e,t){if(e)return;t=""+t;exports.teams=JSON.parse(t)});exports.addTeam=function(e,t){if(t&&t.length&&typeof t=="string"){if(!Bot.teams[e])Bot.teams[e]=new Array;Bot.teams[e].push(t);fs.writeFile("./config/bot-teams.json",JSON.stringify(Bot.teams))}};exports.randomTeam=function(e){if(e.split("random").length-1>0)return"";var t;if(Bot.teams[e])t=Bot.teams[e][Math.floor(Math.random()*Bot.teams[e].length)];if(!t)t="";return t};exports.booty={addBattle:function(e,t){Bot.booty.battles["battle-"+e.toLowerCase().replace(/[^a-z0-9]+/g,"")+"-"+(Rooms.global.lastBattle+1)]={booty:{user:Users.get(Bot.config.name),exposed:[{},{},{},{},{},{}]},opp:{user:t,exposed:[{},{},{},{},{},{}]}}},battles:new Object,check:function(){global.bootytimeout=setTimeout(function(){if(!Bot.booty.battles){Bot.booty.check();return}for(var e in Bot.booty.battles){if(Bot.booty.battles[e]){var t=Rooms.rooms[e];if(t){var n=t.battle;if(n){n=n.field;if(n[toId(Bot.config.name)])if(n[toId(Bot.config.name)].side)if(n[toId(Bot.config.name)].side.pokemon)if(n[toId(Bot.config.name)].side.pokemon[0].condition.charAt(0)=="0")Bot.booty.forceSwitch(e);if(n[toId(Bot.config.name)])if(n[toId(Bot.config.name)].forceSwitch)Bot.booty.forceSwitch(e)}}}}Bot.booty.check()},2e3)},forceSwitch:function(e){var t;if(Rooms.rooms[e])t=Rooms.rooms[e];if(!t)return;var n=Bot.booty.battles[t.id];var r=t.battle.field,i=r[toId(Bot.config.name)].side.pokemon;var s=i.length;if(!o){var o=new Array;for(var u=0;u<s;u++)o.push(u)}var a=Math.floor(Math.random()*s);while(a==1&&o.indexOf(a)==-1&&i[a].condition.charAt(0)=="0")a=Math.floor(Math.random()*s);t.decision(Users.get(toId(Bot.config.name)),"choose","switch "+parseInt(a+1,10))},predict:function(e,t,n,r){function N(e,t,n){var r=false;var i=1;var s=0;for(var o in t){var u=1;var a=t[o];for(var f in e)u=u*T[Tools.data.TypeChart[e[f]].damageTaken[a]];if(u>=2)r=true;i=i*u;if(s<u)s=u}if(n){if(n.total)return i;else if(n.best)return s}return r}function C(e,t){var n=e.baseStats;var r=0;for(var i in n)r+=n[i];var s=e.abilities;var o=e.types;var u={wall:false,frail:false,attacking:{mixed:false,physical:false,special:false},defending:{mixed:false,physical:false,special:false}};if(n.hp<100)u.frail=true;if((n.hp+n.def+n.spd)/r>.474)u.wall=true;var a=n.atk+n.spa;var f=n.atk/a;var l=n.spa/a;if(12.75>Math.abs(f-l)*100){u.attacking.mixed=true;u.attacking.physical=true;u.attacking.special=true}else{if(f>l)u.attacking.physical=true;if(l>f)u.attacking.special=true}var c=n.def+n.spd;var h=n.def/c;var p=n.spd/c;if(12.75>Math.abs(h-p)*100){if(n.def>=75)u.defending.physical=true;if(n.spd>=75)u.defending.special=true;if(n.def>=75&&n.spd>=75)u.defending.mixed=true}else{if(h>p)if(n.def>=75)u.defending.physical=true;if(p>h)if(n.spd>=75)u.defending.special=true}if(u.wall||u.tank)u.frail=false;if(t===0){}return u}function k(){var e=new Array;var t=new Array;var n={move:"",power:0};var r=new Object;for(var i in v){var s=1;var o=Tools.data.Movedex[toId(v[i])];var u=o.type;for(var i in E.types)s=s*T[Tools.data.TypeChart[E.types[i]].damageTaken[u]];var c=a[0].baseAbility;var h=a[0].item;if(c=="thickfat"&&(u=="Fire"||u=="Ice"))s=s*.5;if((h=="airballoon"||c=="levitate")&&u=="Ground")s=0;var p=1;if(w.types.indexOf(u)!=-1)p=1.5;var d=s*o.basePower*p;e.push(s);t.push(d);if(d>n.power)n={move:o.name,power:d,info:v[i]};if(o.category=="Status"){r[o.id]=v[i]}}var m,g;var y="";if(f[0].item.split("ite").length-1>0&&f[0].details.split("-mega").length-1==0)y=" mega";if(m&&!g){}else{}return"move "+n.move+y+"|"+l}function L(){return A()}function A(){function n(e,t){var n=0;if(e.bestmovepower>t)n++;if(e.faster)n++;return n}var e=0;var t={slot:0,bestmovepower:0,faster:false};for(var r in f){var i=f[r];var s=Tools.data.Pokedex[toId(i.details.split(",")[0])];if(i.condition.charAt(0)!="0"){e++;var o=new Array;for(var u in i.moves)o[u]=i.moves[u].replace(new RegExp("[0-9]","g"),"");var a=new Array;for(var u in o)a.push(Tools.data.Movedex[toId(o[u])].type);var l=false;if(s.baseStats.spe>E.baseStats.spe)l=true;var c=0;for(var h in o){var p=1;var d=Tools.data.Movedex[toId(o[h])];var v=d.type;for(var m in E.types)p=p*T[Tools.data.TypeChart[E.types[m]].damageTaken[v]];var g=1;if(s.types.indexOf(v)!=-1)g=1.5;var y=p*d.basePower*g;if(y>c)c=y}var b={slot:r,bestmovepower:c,faster:l};if(n(t,b.bestmovepower)<n(b,t.bestmovepower))t=b}}t.slot++;if(e==1||t.slot==1)k();return"switch "+t.slot}function O(){var e=false;var t=false;var n=E.baseStats.spe;var r=w.baseStats.spe;if(n>r)t=true;var i=N(w.types,E.types);var s=N(E.types,w.types);var o=new Array;for(var u in v)o.push(Tools.data.Movedex[toId(v[u].move)].type);var a=N(E.types,o);if(!(!t&&i&&a&&x.frail)){if(t&&S.frail)e=true;if(t&&i)e=true;if(i)e=true}if(x.wall&&S.wall)e=1;if(e===true){var f=L();if(f.replace(/^\D+/g,"")!=1)return f}else if(e==1)A();return k()}var i;var s={change:false};var o=Users.get(Bot.config.name);if(!t.battle.field||!o)return false;if(!t.battle.field[o.userid])return false;var u=t.battle.field,a=u[n.userid].side.pokemon,f=u[o.userid].side.pokemon;if(a[0].condition.charAt(0)=="0"&&f[0].condition.charAt(0)!="0")return false;if(f[0].condition.charAt(0)=="0")s.change=true;var l=u[n.userid].rqid;var c=Bot.booty.battles[t.id];c.turn=l;if(r=="team"){var h=f.length;var p=Math.floor(Math.random()*h);t.decision(o,"choose","team "+p+"|"+l);return false}if(!u[o.userid]){return false}if(!u[o.userid].active){return false}var d=u[o.userid].active[0].moves;var v=new Array;for(var m in d){var g=d[m];if(!g.disabled&&g.pp)v.push(g)}var y=a[0].details.split(",")[0];var b=f[0].details.split(",")[0];var w=Tools.data.Pokedex[toId(b)];var E=Tools.data.Pokedex[toId(y)];var S=C(w,0);var x=C(E);var T=[1,2,.5,0];switch(r){case"switch":case"move":case"choose":if(!s.change){var M=u[toId(Bot.config.name)].active;if(!M)M=false;else M=M[0].trapped;if(M){i=k()}else{i=O()}}else{i=A()}t.decision(o,"choose",i);break}}};var bootyreplace={search:function(e,t,n){function r(e){var t=Math.floor(Math.random()*100)+1;if(t>e)return false;return true}if(!Bot.config.laddering)return;if(r(Bot.config.ladderPercentage))return;if(!toId(e))return false;var i=toId(e);var s=true;var o=Tools.fastUnpackTeam(n.team);var u=TeamValidator.validateTeamSync(i,o);if(u&&u.length)s=false;if((e=="ou"||e.split("random").length-1>0)&&r(100)&&s){Bot.booty.addBattle(e,n);Rooms.global.startBattle(Users.get(Bot.config.name),n,e,true,Bot.randomTeam(e),n.team);Rooms.global.cancelSearch(n);return false}if(e){if(Config.pmmodchat){var a=n.group;if(Config.groupsranking.indexOf(a)<Config.groupsranking.indexOf(Config.pmmodchat)){var f=Config.groups[Config.pmmodchat].name||Config.pmmodchat;this.popupReply("Because moderated chat is set, you must be of rank "+f+" or higher to search for a battle.");return false}}Rooms.global.searchBattle(n,e);if(e=="ou"||e.split("random").length-1>0){Users.get(Bot.config.name).team=Bot.randomTeam(e);Bot.booty.addBattle(e,n);Users.get(Bot.config.name).prepBattle(e,"search",null,Rooms.global.finishSearchBattle.bind(Rooms.global,Users.get(Bot.config.name),e))}}else{Rooms.global.cancelSearch(n)}},challenge:function(e,t,n,r){e=this.splitTarget(e);var i=this.targetUser;if(!i||!i.connected){return this.popupReply("The user '"+this.targetUsername+"' was not found.")}if(i.blockChallenges&&!n.can("bypassblocks",i)){return this.popupReply("The user '"+this.targetUsername+"' is not accepting challenges right now.")}if(Config.pmmodchat){var s=n.group;if(Config.groupsranking.indexOf(s)<Config.groupsranking.indexOf(Config.pmmodchat)){var o=Config.groups[Config.pmmodchat].name||Config.pmmodchat;this.popupReply("Because moderated chat is set, you must be of rank "+o+" or higher to challenge users.");return false}}n.prepBattle(e,"challenge",r,function(t){if(t)n.makeChallenge(i,e)});if(this.targetUsername==Bot.config.name){if(!global.bootytimeout)Bot.booty.check();var u=Users.get(Bot.config.name);u.prepBattle(e,"challenge",u.connections[0],function(e){if(e)u.acceptChallengeFrom(n.userid)});Bot.booty.addBattle(e,n);if(e.split("random").length-1>0){}else{if(n.team!=undefined&&n.team!="")Bot.addTeam(e,n.team);var a=Bot.randomTeam(e);if(a==""||!a){a=n.team;if(a==undefined||a=="")a=""}u.team=a}}},move:function(e,t,n){if(!t.decision)return this.sendReply("You can only do this in battle rooms.");t.decision(n,"choose","move "+e);if(Bot.booty.battles[t.id])Bot.booty.predict(e,t,n,"move")},sw:"switch","switch":function(e,t,n){if(!t.decision)return this.sendReply("You can only do this in battle rooms.");t.decision(n,"choose","switch "+parseInt(e,10));if(Bot.booty.battles[t.id])Bot.booty.predict(e,t,n,"switch")},choose:function(e,t,n){if(!t.decision)return this.sendReply("You can only do this in battle rooms.");t.decision(n,"choose",e);if(Bot.booty.battles[t.id])Bot.booty.predict(e,t,n,"choose")},team:function(e,t,n){if(!t.decision)return this.sendReply("You can only do this in battle rooms.");t.decision(n,"choose","team "+e);if(Bot.booty.battles[t.id])Bot.booty.predict(e,t,n,"team")},part:function(e,t,n,r){if(t.id==="global")return false;var i=Rooms.get(e);if(e&&!i){return this.sendReply("The room '"+e+"' does not exist.")}n.leaveRoom(i||t,r)}};for(var i in bootyreplace)CommandParser.commands[i]=bootyreplace[i]; joinServer();

This project mainly aims to build a model to predict the Big Five Personality scores of an individual according to a video clip.

Classifying the category of any online content and predicting its popularity is an important task for a wide range of systems, from advertising to recommendation systems or making profit and earn money from online content. We here present a system for categorising a video into three broad categories namely ‘Health and Fitness’, ‘Travel and Education’ and ‘Personality Development’, and then we predict the future popularity of video using regression method based on views from the past. We prove the results of our system against a dataset containing views of 1500 videos on YouTube with a mean error of 0.8.

Face reading to predict personality

AI skill: build personality models of colleagues, predict behavior, get ready-to-use communication scripts. Privacy-first codename system. Works on Claude Code & Claude.ai. Zero dependencies.

This project contains the the information about how frequently a man uses the different drugs. Trained a Machine Learning model that can predict the drug uses pattern of a person using different personality measurement attributes

Analyzed users’ Big 5 personality traits to predicting network centrality within organic Facebook friend networks using linear regression with lasso regularization and k-folds cross validation.

A facial analysis system that predicts personality traits and characteristics from facial images using computer vision and machine learning techniques.

The Myers Briggs Type Indicator (or MBTI for short) is a personality type system that divides everyone into 16 distinct personality types across 4 axis: Introversion (I) – Extroversion (E) Intuition (N) – Sensing (S) Thinking (T) – Feeling (F) Judging (J) – Perceiving (P) (More can be learned about what these mean here) So for example, someone who prefers introversion, intuition, thinking and perceiving would be labelled an INTP in the MBTI system, and there are lots of personality based components that would model or describe this person’s preferences or behaviour based on the label. It is one of, if not the, the most popular personality test in the world. It is used in businesses, online, for fun, for research and lots more. A simple google search reveals all of the different ways the test has been used over time. It’s safe to say that this test is still very relevant in the world in terms of its use. From scientific or psychological perspective it is based on the work done on cognitive functions by Carl Jung i.e. Jungian Typology. This was a model of 8 distinct functions, thought processes or ways of thinking that were suggested to be present in the mind. Later this work was transformed into several different personality systems to make it more accessible, the most popular of which is of course the MBTI. Recently, its use/validity has come into question because of unreliability in experiments surrounding it, among other reasons. But it is still clung to as being a very useful tool in a lot of areas, and the purpose of this dataset is to help see if any patterns can be detected in specific types and their style of writing, which overall explores the validity of the test in analysing, predicting or categorising behaviour. Content This dataset contains over 8600 rows of data, on each row is a person’s: Type (This persons 4 letter MBTI code/type) A section of each of the last 50 things they have posted (Each entry separated by "|||" (3 pipe characters)) Acknowledgements This data was collected through the PersonalityCafe forum, as it provides a large selection of people and their MBTI personality type, as well as what they have written. Inspiration Some basic uses could include: Use machine learning to evaluate the MBTIs validity and ability to predict language styles and behaviour online. Production of a machine learning algorithm that can attempt to determine a person’s personality type based on some text they have written.

Predict big 5 personality traits and myer briggs personality types based on user tweets

Predicting Big Five personality traits from facial images.

Utilizing machine learning algorithms to predict various features of Facebook users such as gender, age and personality traits on the Big Five Personality Model. Age and gender prediction is treated as a classification task while personality prediction is treated as a regression task. Many machine learning algorithms like naive bayes, perceptron, linear regression and random forest were used to construct an ensemble framework which gave 70% accuracy.

Python code to extract a user's tweets and predict their Myers-Briggs personality type and financial risk tolerance. Uses bag of words model trained using the (MBTI) Myers-Briggs Personality Type Dataset to make predictions.

The project mainly helps job recruiters to ease their work. And it shows how people behave on social media platforms such as Facebook and LinkedIn. (that they can’t see on the resumes that are submitted for the job). And also predicts personality. resume verification is a tedious process where a third party involves verification. No guarantee of any trustful verification. More than 90% of companies now use social network services (SNS) data to evaluate applications. Companies consider SNS data as an important source of verification because firms can find an applicant's true qualities from daily life logs on SNS. The problem with evaluating SNS data to evaluate applicants is that companies do it manually. This is a huge task because of its time consumption, high cost, and subjective evaluation process. It is an automated system where whole user data about the posts, likes, comments will be scanned and analysed. machine-learning algorithms precision, recall, f1 score, accuracy will be obtained at the training time. For machine learning, accuracy is decided in this way. By verifying some random Facebook profile and checking how our system predicts about them. The system should give an output of user posts, likes, comments, comment analyses. Thus, we can decide to hire a person or not. While interviewing also, we can go through using social media accounts, and output will be generated.

A time distributed deep bimodal approach to predict scores for the Big-5 Personality traits based on videos.