https://github.com/rushikeshnimkar/portfolio2025
Rushikesh Nimkar's portfolio, accessible at rushikeshnimkar.xyz, is a modern website built with Next.js 15 and TypeScript. It features AI-powered email generation, an interactive chat with an AI version of Rushikesh, dynamic animations, responsive design, dark mode, and showcases his projects and contributions.
https://github.com/rushikeshnimkar/portfolio2025
ai aiagents chatbot gemini github github-pages langchain langgraph openrouter personal-website pinecone portfolio portfolio-site portfolio-template portfolio-website template vectorembeddings
Last synced: 7 months ago
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Rushikesh Nimkar's portfolio, accessible at rushikeshnimkar.xyz, is a modern website built with Next.js 15 and TypeScript. It features AI-powered email generation, an interactive chat with an AI version of Rushikesh, dynamic animations, responsive design, dark mode, and showcases his projects and contributions.
- Host: GitHub
- URL: https://github.com/rushikeshnimkar/portfolio2025
- Owner: Rushikeshnimkar
- License: mit
- Created: 2025-01-19T18:34:19.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-03-13T12:13:22.000Z (7 months ago)
- Last Synced: 2025-03-13T13:24:05.109Z (7 months ago)
- Topics: ai, aiagents, chatbot, gemini, github, github-pages, langchain, langgraph, openrouter, personal-website, pinecone, portfolio, portfolio-site, portfolio-template, portfolio-website, template, vectorembeddings
- Language: TypeScript
- Homepage: https://rushikeshnimkar.xyz
- Size: 10.2 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
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README
# Rushikesh Nimkar's Portfolio
A modern portfolio website built with Next.js 15, featuring AI chat integration and interactive animations.
## ✨ Features
- **AI-Powered Email Generation**: Create professional emails with AI assistance
- **Interactive Chat**: Talk directly with an AI version of me using advanced LLMs
- **Vector Embeddings**: Semantic search capabilities for more accurate AI responses
- **Dynamic Animations**: Engaging UI with smooth animations
- **Responsive Design**: Seamless experience across all devices
- **Dark Mode**: Eye-friendly interface for all lighting conditions
- **Project Showcase**: Interactive displays of my work and contributions
## 🛠️ Tech Stack
- **Frontend**: Next.js 15, TypeScript, Tailwind CSS, Framer Motion
- **AI Integration**: OpenRouter API (Llama 3.3)
- **Backend**: Next.js API Routes, Node.js
- **Vector Database**: Pinecone for semantic search and embeddings
- **Embeddings**: Google Gemini for generating vector embeddings
- **Search Capability**: Tavily API for real-time information
- **Email Services**: Nodemailer, Abstract API for email validation
- **Deployment**: Vercel with Edge Functions
## 🚀 Getting Started
> **⚠️ IMPORTANT:** Before starting, make sure to set up all required environment variables in a `.env` file as described in the Environment Variables section below. The application will not work properly without these configurations.
1. Clone and install:
```bash
git clone https://github.com/Rushikeshnimkar/portfolio2025.git
cd portfolio
npm install
```
2. Update your personal information:
```bash
# Edit the components/character/character.ts file with your own details
# This is crucial for the AI to represent you correctly
```
3. Run development server:
```bash
npm run dev
```
> **Note:** The first run will take longer than usual as the system creates and saves your embeddings to the vector database. Take this time to relax and enjoy a coffee! ☕
4. Open [http://localhost:3000](http://localhost:3000)
> **⚠️ IMPORTANT NOTE:** Make sure to uncomment the following line in `api/chat/route.ts` when working in development:
> ```javascript
> // "http://localhost:3000",
> ```
## 📧 Email Generation Feature
The portfolio includes an AI-powered email generation system that:
- Creates professional emails based on simple prompts
- Validates sender email addresses
- Supports both AI-generated and manual email composition
- Features elegant text generation animations
## 💬 AI Chat Integration
Chat with an AI version of me that:
- Answers questions about my skills, experience, and projects
- Accesses real-time information when needed via Tavily search
- Maintains conversation context across messages
- Provides accurate information about my background and expertise
- Uses vector embeddings for more accurate and relevant responses
## 🔍 Vector Database Integration
The portfolio uses Pinecone vector database to store and retrieve embeddings:
- Semantic search capabilities for more accurate AI responses
- Google Gemini embeddings for high-quality vector representations
- Efficient retrieval of relevant information based on user queries
- One-time initialization with profile data for persistent storage
## 🔒 Security Features
- CORS protection for API routes
- Email validation to prevent spam
- Rate limiting on sensitive endpoints
- Environment variable protection
## Environment Variables
Create a `.env` file in the root directory and add your environment variables:
```env
# Development environment (all the apis are free)
EMAIL_USER="your emailid"
EMAIL_APP_PASSWORD="your App Password" # get it from your Google Account settings
ABSTRACT_API_KEY="your abstract api key" # https://app.abstractapi.com/
OPENROUTER_API_KEY="your openrouter api key" # https://openrouter.ai/
TAVILY_API_KEY="your Tavily api key" # https://tavily.com/
# Vector Database (Pinecone)
PINECONE_API_KEY="your Pinecone API key" # https://app.pinecone.io/
PINECONE_INDEX_NAME="your index name" # e.g., portfolio-embeddings
# Google Gemini (for embeddings)
GOOGLE_API_KEY="your Google API key" # https://ai.google.dev/
```
## Vector Store Configuration
The vector store is configured in `lib/embeddings.ts` with the following settings:
- Dimension: 768 (Google Gemini embeddings)
- Metric: Cosine similarity
- Pod type: Starter (free tier)
You can modify these settings in the `initializeVectorStore` function if needed.