Update README.md

README.md

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-# InPact
+# Inpact - AI-Powered Creator Collaboration & Sponsorship Matchmaking
+
+Inpact is an open-source AI-powered platform designed to connect content creators, brands, and agencies through data-driven insights. By leveraging Generative AI (GenAI), audience analytics, and engagement metrics, Inpact ensures highly relevant sponsorship opportunities for creators while maximizing ROI for brands investing in influencer marketing.
+
+## Features
+
+### AI-Driven Sponsorship Matchmaking
+- Automatically connects creators with brands based on audience demographics, engagement rates, and content style.
+
+### AI-Powered Creator Collaboration Hub
+- Facilitates partnerships between creators with complementary audiences and content niches.
+
+### AI-Based Pricing & Deal Optimization
+- Provides fair sponsorship pricing recommendations based on engagement, market trends, and historical data.
+
+### AI-Powered Negotiation & Contract Assistant
+- Assists in structuring deals, generating contracts, and optimizing terms using AI insights.
+
+### Performance Analytics & ROI Tracking
+- Enables brands and creators to track sponsorship performance, audience engagement, and campaign success.
+
+## Tech Stack
+- **Frontend**: ReactJS
+- **Backend**: FastAPI
+- **Database**: Supabase
+- **AI Integration**: GenAI for audience analysis and sponsorship recommendations
+
+---
+
+## Workflow
+
+### 1. User Registration & Profile Setup
+- Creators, brands, and agencies sign up and set up their profiles.
+- AI gathers audience insights and engagement data.
+
+### 2. AI-Powered Sponsorship Matchmaking
+- The platform suggests brands and sponsorship deals based on audience metrics.
+- Creators can apply for sponsorships or receive brand invitations.
+
+### 3. Collaboration Hub
+- Creators can find and connect with others for joint campaigns.
+- AI recommends potential collaborations based on niche and audience overlap.
+
+### 4. AI-Based Pricing & Contract Optimization
+- AI provides fair pricing recommendations for sponsorships.
+- Auto-generates contract templates with optimized terms.
+
+### 5. Campaign Execution & Tracking
+- Creators execute sponsorship campaigns.
+- Brands track campaign performance through engagement and ROI metrics.
+
+### 6. Performance Analysis & Continuous Optimization
+- AI analyzes campaign success and suggests improvements for future deals.
+- Brands and creators receive insights for optimizing future sponsorships.
+
+---
+
+## Getting Started
+
+### Prerequisites
+Ensure you have the following installed:
+- Node.js & npm
+- Python & FastAPI
+- Supabase account
+
+### Installation
+#### 1. Clone the repository
+```sh
+ git clone [https://github.com/your-repo/inpact.git](https://github.com/AOSSIE-Org/InPact.git)
+ cd inpact
+```
+
+#### 2. Install Frontend Dependencies
+```sh
+cd frontend
+npm install
+```
+
+#### 3. Install Backend Dependencies
+```sh
+cd backend
+pip install -r requirements.txt
+```
+
+#### 4. Set Up Environment Variables
+Create a `.env` file in both the frontend and backend directories with necessary API keys and Supabase credentials.
+
+#### 5. Start Development Servers
+- **Frontend**:
+```sh
+npm start
+```
+- **Backend**:
+```sh
+uvicorn main:app --reload
+```
+
+---
+
+## Contributing
+We welcome contributions from the community! To contribute:
+1. Fork the repository.
+2. Create a new branch for your feature (`git checkout -b feature-name`).
+3. Commit your changes (`git commit -m "Added feature"`).
+4. Push to your branch (`git push origin feature-name`).
+5. Open a Pull Request.
+
+---
+
+
+**Overall Workflow**
+
+```mermaid
+graph TD;
+  A[User Signup/Login] -->|via Supabase Auth| B[User Dashboard];
+
+  B -->|Fetch Audience & Engagement Data| C[AI-Powered Sponsorship Matchmaking];
+  C -->|Suggest Ideal Brand Deals| D[Creator Applies for Sponsorship];
+  D -->|Submit Application| E[Brand Reviews & Shortlists];
+  E -->|AI-Based Pricing & Negotiation| F[Contract Generation via AI];
+  F -->|Sign Deal| G[Sponsorship Execution];
+
+  G -->|Track Performance| H[AI-Powered ROI Analytics];
+  H -->|Optimized Insights| I[Brands & Creators Adjust Strategies];
+
+  I -->|Feedback Loop| C;
+```
+
+
+**FRONTEND workflow in detail**
+
+```mermaid
+graph TD;
+  A[User Visits Inpact] -->|Supabase Auth| B[Login/Signup];
+  B -->|Fetch User Profile| C[Dashboard Loaded];
+
+  C -->|Request AI-Powered Matches| D[Fetch Sponsorship Deals via API];
+  D -->|Display Relevant Matches| E[User Applies for Sponsorship];
+
+  E -->|Send Application via API| F[Wait for Brand Response];
+  F -->|Fetch Application Status| G[Show Application Updates];
+
+  G -->|If Approved| H[Contract Generation Page];
+  H -->|AI Drafts Contract| I[User Reviews & Signs Contract];
+
+  I -->|Start Campaign Execution| J[Track Sponsorship Performance];
+  J -->|Show Performance Analytics| K[AI Optimizes Future Matches];
+```
+
+**BACKEND workflow in detail**
+
+```mermaid
+graph TD;
+  A[User Authentication] -->|Supabase Auth API| B[Verify User];
+  B -->|Store User Data in DB| C[Return JWT Token];
+
+  C -->|Fetch User Profile| D[Return Profile Data];
+
+  D -->|Receive Sponsorship Match Request| E[Query AI Engine];
+  E -->|Analyze Audience & Engagement| F[Generate Sponsorship Matches];
+  F -->|Return Matches via API| G[Send to Frontend];
+
+  G -->|User Applies for Sponsorship| H[Store Application in DB];
+  H -->|Notify Brand| I[Brand Reviews Application];
+
+  I -->|Brand Approves/Rejects| J[Update Application Status];
+  J -->|If Approved| K[Generate AI-Powered Contract];
+
+  K -->|AI Suggests Pricing & Terms| L[Store Finalized Contract in DB];
+
+  L -->|Track Campaign Performance| M[Analyze Engagement & ROI];
+  M -->|Return Insights| N[AI Refines Future Recommendations];
+
+```
+
+
+## Contact
+For queries, issues, or feature requests, please raise an issue or reach out on discord server.
+
+Happy Coding!