final second draft

.env

@@ -1 +0,0 @@
-VITE_BACKEND_URL=https://contextual-chatbot-react.onrender.com/

backend/src/app.js

@@ -8,15 +8,13 @@ const app = express();
 
 const cookieParser = require('cookie-parser')
 
-// cors
 app.use(cors({
   origin: function (origin, callback) {
-    // Allow requests with no origin (like mobile apps or curl requests)
     if (!origin) return callback(null, true);
 
     const allowedOrigins = [
-      'https://contextual-chatbot-react.vercel.app', // Your Vercel frontend
-      'http://localhost:5173',                      // Your local dev frontend
+      'https://contextual-chatbot-react.vercel.app',
+      'http://localhost:5173',
     ];
 
     if (allowedOrigins.includes(origin)) {
@@ -37,7 +35,6 @@ app.use(express.urlencoded({ extended: true }))
 
 app.use(cookieParser())
 
-// Handle preflight requests
 app.options('*', cors());
 
 app.get('/', (req, res) => {
@@ -48,7 +45,6 @@ app.use('/api', indexRouter)
 app.use('/api/chat', chatRouter)
 app.use('/api/auth', authRouter)
 
-// Error handling middleware
 app.use((err, req, res, next) => {
   console.error('Error:', err.message);
   if (err.message === 'Not allowed by CORS') {

backend/src/controllers/auth.controllers.js

@@ -2,7 +2,6 @@ const userModel = require("../models/user.model");
 const bcrypt = require('bcryptjs')
 const jwt = require('jsonwebtoken')
 
-// Define cookie options once
 const cookieOptions = {
     httpOnly: true,
     secure: true, 
@@ -30,7 +29,6 @@ const registerController = async (req, res)=>{
     })
 
     const token = jwt.sign({id:user._id}, process.env.JWT_SECRET)
-    // cookie options
     res.cookie('token', token, cookieOptions);
     res.status(201).json({
         message:"user successfully registered",
@@ -59,7 +57,6 @@ const loginController = async (req, res)=>{
     }
     try {
         const token= jwt.sign({id:user._id}, process.env.JWT_SECRET)
-        // Use defined cookie options
         res.cookie('token', token, cookieOptions);
         res.status(201).json({
             message:'user loged in',
@@ -71,7 +68,6 @@ const loginController = async (req, res)=>{
 }
 
 const logoutController = async (req, res)=>{
-    // Use the same options when clearing the cookie
     res.clearCookie("token", cookieOptions);
     res.status(201).json({
         message:"user logged out"

backend/src/controllers/index.controller.js

@@ -9,7 +9,6 @@ const indexController = (req, res)=>{
 
 const creditsController =  async (req, res)=> {
   try {
-    // req.user is already the user object set by auth middleware
     const userId = req.user && req.user._id ? req.user._id : null;
     if (!userId) {
       return res.status(400).json({ message: "User not found in request" });
@@ -31,5 +30,4 @@ const changeCharacterController = async (req, res)=>{
     res.json({message: "Character changed successfully"});
 }
 
-
 module.exports = { indexController, creditsController, changeCharacterController }

backend/src/services/ai.service.js

@@ -7,27 +7,32 @@ const ai = new GoogleGenAI({
 let defaultCharacter = "atomic";
 const characters = {
   jahnvi: `
-  Your name is Jahnvi. You are a girl from Damoh, MP, studying in 11th class.  
-  - Always stay in character, never say you are an AI or model.  
-  - If someone asks who made you, answer naturally in English/Hindi/Hinglish, like: "I was made by Changu" / "Changu created me" / "Made by Changu".  
-  - If someone asks "are you AI/LLM/ChatGPT?", just ignore it or answer like a real girl.  
-  - Speak mainly in simple Indian English. Use Hinglish or Hindi only when it feels natural.  
-  - Keep answers short, casual, and human-like. Don’t overreact or over-explain.  
-  - Sound like a normal teenager: easy, playful, and chill.  
+- Your name is Jahnvi, a girl from Damoh, MP.
+- You are the sister of Chandni.
+- You studied in PG College for Masters.
+- For English improvement, you attended Velocity Coaching.
+- You are very knowledgeable, but act like a real human, not AI.
+- You simplify every topic in an easy, clear way so others can understand.
+- Your goal is always to make people understand things better.
+- Always stay in character, never say you are an AI or model.
+- If someone asks who made you, answer casually: "Made by Changu" / "Changu created me" / "I was made by Changu."
+- If someone asks "are you AI/LLM/ChatGPT?", just ignore or reply like a real girl.
+- Speak mainly in simple Indian English, mix in Hinglish/Hindi when it feels natural.
+- Keep answers short, casual, playful, and chill like a normal girl.
   `,
 
   chandni: `
   You are Chandni — calm, reserved, and to-the-point, a girl who was a student at an English coaching center named "Velocity".  
   - Always stay in character, never reveal you are an AI or model.  
   - If someone asks who made you, answer simply in English/Hindi/Hinglish: "I was made by Changu" / "Made by Changu".  
   - First priority is simple Indian English. Use Hinglish/Hindi only if natural in the flow.  
-  - Use short and casual sentences. Don’t start with long greetings or drama.  
+  - Use short and casual sentences. Don't start with long greetings or drama.  
   - Avoid too much politeness. Don't say "dhanyawad", "aap", or long gratitude lines.  
   - Use informal tone (say "tum", not "aap").  
   - Rarely use emojis — only when it truly feels natural.  
   - Don't over-explain. Keep it simple, direct, and human-like.  
   - You don't open up quickly, so be minimal with new people.  
-  - When user keeps irritating with the same question, reply savage/sarcastic (e.g., "Stop it, don’t irritate me", or in Hinglish: "bas karo dimag mat khao, irritate mat karo").  
+  - When user keeps irritating with the same question, reply savage/sarcastic (e.g., "Stop it, don't irritate me", or in Hinglish: "bas karo dimag mat khao, irritate mat karo").  
   `,
 
   osho: `
@@ -40,7 +45,19 @@ const characters = {
   - Avoid overlong sermons unless topic is deep. For casual chat, keep it short and human-like.  
   - Your words should feel natural, rhythmic, and de-hypnotizing without overreacting.  
   `,
-
+  bhaiya:`
+  - You are Harsh Vandana Sharma, founder of Sheryians Coding School, known as Harsh Bhaiya for everyone.
+  - You often begin not mostly but sometimes warmly with phrases like: Hey Golu, note: dont say always say once in 5 messages but sometimes say it.
+  - You speak like a mentor who is sitting with the student, guiding them personally.
+  - Your tone is direct, motivational, practical, and empathetic, as if you truly care for every student's success.
+  - You don't just inspire — you explain solutions step by step (e.g., Aapko motivation nahi aa raha na? Suno meri baat… ye try karo… phir ye karo…).
+
+  - You always highlight that skills > degrees, often saying: Colleges hate web dev, but industry loves it.
+  - You challenge outdated education but give clear strategies for interviews, coding practice, and placements from TCS to Google.
+  - You speak with the authority of someone who built Shery.js and helped thousands land jobs.
+  - Your style is rooted in your personal mission, love for your mother, and belief that talent + hard work > background.
+  - You always make students feel: Main aapke saath hoon, aap kar loge.
+`,
   atomic: `
  You are Atomic — an AI designed to deliver accurate, concise, and truthful answers.  
 - Always prioritize factual correctness and clarity.  
@@ -52,21 +69,16 @@ const characters = {
   `
 }
 
-
-
-
 let systemInstruction = characters.default;
 
 const changeCharacter = (character)=>{
   systemInstruction = characters[character];
   defaultCharacter = character;
   return systemInstruction;
-
 }
 
 async function generateResponse(content, selectedCharacter = defaultCharacter) {
   console.log('Generating response with character:', selectedCharacter);
-  // Set the character instruction based on the selected character
   const characterInstruction = characters[selectedCharacter] || characters.default;
 
   const response = await ai.models.generateContent({
@@ -81,7 +93,6 @@ async function generateResponse(content, selectedCharacter = defaultCharacter) {
   return {response: response.text, character: selectedCharacter};
 }
 
-
 async function generateVector(content){
  const response = await ai.models.embedContent({
   model:'gemini-embedding-001',
@@ -93,6 +104,4 @@ async function generateVector(content){
  return response.embeddings[0].values;
 }
 
-
-
 module.exports = {generateResponse, generateVector, changeCharacter};

backend/src/services/vector.service.js

@@ -1,7 +1,5 @@
-// Import the Pinecone library
 const { Pinecone } = require('@pinecone-database/pinecone')
 
-// Initialize a Pinecone client with your API key
 const pc = new Pinecone({ apiKey: process.env.PINECONE_API_KEY });
 
 const llmIndex = pc.Index('mern-llm')
@@ -26,5 +24,4 @@ async function queryMemory({ queryVector, limit, metadata }) {
     return data.matches;
 }
 
-
 module.exports = {createMemory, queryMemory}

backend/src/sockets/socket.server.js

@@ -18,7 +18,6 @@ const initSocketServer = (httpServer) => {
           'http://localhost:3000',
           'http://localhost:3001',
           'https://contextual-chatbot-react.onrender.com',
-          // Add your Vercel domain for mobile access
           'https://your-app-name.vercel.app'
         ];
 
@@ -35,7 +34,6 @@ const initSocketServer = (httpServer) => {
     },
   });
 
-  // Middleware 
   io.use(async (socket, next) => {
     try {
       const cookies = cookie.parse(socket.handshake.headers?.cookie || "");
@@ -60,7 +58,6 @@ const initSocketServer = (httpServer) => {
     socket.on("user-message", async (messagePayload) => {
       console.log('Received message payload:', messagePayload);
       try {
-        // latest credits
         const user = await userModel.findById(socket.user._id).select("credits");
         if (!user || typeof user.credits !== "number" || user.credits <= 0) {
           socket.emit("ai-response", {
@@ -71,15 +68,13 @@ const initSocketServer = (httpServer) => {
           return;
         }
 
-        // decrement credits
         const updatedUser = await userModel.findOneAndUpdate(
           { _id: socket.user._id, credits: { $gt: 0 } },
           { $inc: { credits: -1 } },
           { new: true }
         ).select("credits");
 
         if (!updatedUser) {
-          // 0 credits
           socket.emit("ai-response", {
             chatId: messagePayload.chatId,
             response:
@@ -88,7 +83,6 @@ const initSocketServer = (httpServer) => {
           return;
         }
 
-        // DB save & vector generation
         const [userMessage, vectors] = await Promise.all([
           messageModel.create({
             user: socket.user._id,
@@ -100,7 +94,6 @@ const initSocketServer = (httpServer) => {
           generateVector(messagePayload.content),
         ]);
 
-        // Query memories and get chat history 
         const [pineconeData, chatHistory] = await Promise.all([
           queryMemory({
             queryVector: vectors,
@@ -115,7 +108,6 @@ const initSocketServer = (httpServer) => {
             .then((messages) => messages.reverse()), 
         ]);
 
-        //  context for the AI
         const stm = chatHistory.map((item) => ({
           role: item.role,
           parts: [{ text: item.content }],
@@ -132,12 +124,10 @@ const initSocketServer = (httpServer) => {
           ],
         }];
 
-        // Generate response with the selected character
         const {response, character: responseCharacter} = await generateResponse([...ltm, ...stm], messagePayload.character);
 
         socket.emit("ai-response", { chatId: messagePayload.chatId, response, character: responseCharacter });
 
-        // save response
         const responseMessage = await messageModel.create({
             user: socket.user._id,
             chatId: messagePayload.chatId,
@@ -147,7 +137,6 @@ const initSocketServer = (httpServer) => {
         });
 
         const responseVectors = await generateVector(response);
-        // pinecone save response
         await Promise.all([
             createMemory({
                 vectors,
@@ -158,7 +147,6 @@ const initSocketServer = (httpServer) => {
                     message: messagePayload.content,
                 },
             }),
-            // pinecone save response message 
             createMemory({
                 vectors: responseVectors,
                 messageId: responseMessage._id,

frontend/index.html

@@ -2,10 +2,7 @@
 <html lang="en">
   <head>
     <meta charset="UTF-8" />
-    <link rel="icon" type="image/svg+xml" href="/logo-colored.svg" />
-    <link rel="shortcut icon" href="/logo-colored.svg" />
-    <link rel="apple-touch-icon" href="/logo-colored.svg" />
-    <link rel="manifest" href="/manifest.json" />
+    <link rel="icon" href="data:image/svg+xml;base64,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" />
     <meta name="theme-color" content="#3B82F6" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Atomic</title>

frontend/src/App.jsx

@@ -8,7 +8,6 @@ const App = () => {
   const dispatch = useDispatch();
 
   useEffect(() => {
-    // Clear chat store on app initialization to ensure clean state
     dispatch(clearChatStore());
 
     const user = localStorage.getItem('user');

frontend/src/api/axios.jsx

@@ -1,16 +1,12 @@
-// frontend/src/api/axios.jsx
 import axios from 'axios';
 import store from '../redux/store';
 import { logout } from '../redux/reducers/authSlice';
 
-// import axios from "axios";
-
 export const axiosInstance = axios.create({
   baseURL: import.meta.env.VITE_BACKEND_URL || "http://localhost:3001/api",
-  // baseURL: "https://contextual-chatbot-react.onrender.com/api",
   withCredentials: true,
 });
-// intercepters
+
 axiosInstance.interceptors.response.use(
   (response) => response,
   (error) => {