# 📈 Stock Market Dashboard Enhancements

## 1️⃣ Real-Time User Updates via Bots

### 🛠️ **Technology:** Chatbots, WebSockets, Push Notifications

### 🚧 **Status:** Pending

- Integrate AI bots to provide real-time updates to users.
- Automate handling of new user onboarding and queries.

## 2️⃣ Enhanced Model Accuracy with External Parameters

### 🛠️ **Technology:** Market Data APIs (Fyers, NSEPython)

### 🚧 **Status:** Pending

- Add US Dollar, Gold price, and other economic indicators to improve predictive accuracy.

## 3️⃣ 📩 Email Notifications for Stock Prices

### 🛠️ **Technology:** SMTP, WebSockets, Market Data APIs

### 🚀 **Status:** In Progress

- Send real-time email alerts for stock price changes (both invested & interested stocks).

## 4️⃣ 🤖 Chatbot for Stock Market FAQs

### 🛠️ **Technology:** NLP, AI Chatbot Frameworks (Dialogflow, Rasa), Social Media Bots (Tweepy, Reddit API, Instagram API, Telegram Bot API)

### 🚀 **Status:** Started

- Develop an interactive chatbot to answer common questions related to stock investing and markets.
- Integrate Twitter (Tweepy), Reddit, Instagram, and Telegram bots to fetch and provide real-time discussions, trends, and insights from these platforms.
- Enable users to receive stock market updates directly via social media and messaging platforms.

## 5️⃣ 📊 Case Studies on Stock Market Gains & Losses

### 🛠️ **Technology:** Data Visualization, Power BI

### 🚧 **Status:** Pending

- Add a dedicated section showcasing common profit & loss scenarios.

## 6️⃣ 🔍 Dynamic Stock Tracking Feature

### 🛠️ **Technology:** Yahoo Finance Library, PyTorch Models

### ✅ **Status:** Done

- Users can input custom stock names and track them dynamically.
- Utilized Yahoo Finance Library for stock data retrieval.
- Integrated PyTorch models for stock prediction and analysis.