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CMMI
Governance
Template
Statement Of Work
Guidelines
Coding Standard
Android Coding Standards
Core Java
Front-End Styling (CSS)
Golang
iOS Coding Standard (Swift)
Java EE
Javascript
Python
Request structure guidelines
Scala
TypeScript
Product Integration
Practical Training PPT
Procedure
Configuration Management (CM)
Estimating (EST)
Managing Performance and Measurement (MPM)
Monitoring and Control (MC)
Peer Review (PR)
Planning (PLAN)
Process Management (PCM)
Process Quality Assurance (PQA)
Product Integration (PI)
Requirement Development Management(RDM)
Risk and Opportunity Management
Technical Solution (TS)
Verification and Validation (VV)
Process Areas
Process Areas - Documents & Evidences
Standard
Document Creation
Naming Convention Standard
Templates
Audit Plan
LLD
Enovate Tools
EnovateIT
Company Profile & Website Portfolio
Home
Local AI
Projects
Audit-matic
HLD
CommNet
Face Recognation
Document
Flowcast
Enovate IT-QMS-PL01-Project Plan-[FlowCast]-V10
HireGenius
SRS
Technical Document (LLD+HLD))
OptiQA
Sentify
SkillShift
HLD
LLD
Social Media Manager
Teams
Team Apex
Team Catalyst
Team Fusion
Team Nova
Team Orbit
Team Pulse
Team Quantum
Team Spark
Team Vision
Templates
Project Template
Team Template
Page Index
Toggle page headings
C
CMMI
Introduction
Governance
Template
Statement Of Work
Market Research Website Development
1. Parties
2. Document Purpose
3. Executive Summary
4. Objectives
5. Scope of Work
5.1 In Scope
5.2 Out of Scope
6. Deliverables
7. Technology Stack
8. Estimated Effort & Timeline
9. Roles & Responsibilities
10. Governance & Communication
11. Change Management
12. Supplier Agreement Management
13. Acceptance Criteria
14. Commercial Milestones and Billing Structure
15. Warranty / Hypercare
16. Service Support
17. Risks & Assumptions
18. Acronyms and Abbreviations
19. Intellectual Property
20. Confidentiality
21. Termination
22. Signoff
Guidelines
Coding Standard
Android Coding Standards
1. Objective
2. Scope
3. Architecture & Project Structure
4. Naming Conventions
5. Code Formatting & Style
6. UI/UX & Resource Management
7. Networking & Data Handling
8. Error Handling & Logging
9. Security & Performance
10. Testing
11. Automation & CI/CD Integration
12. References
Core Java
1. Introduction
1.1 Purpose
1.2 Scope
1.3 Application
2. Rules and Recommendations
2.1 General
2.1.1 Rules:
2.1.2 Recommendations:
2.2 Coding Style
2.2.1 Rules:
2.2.2 Recommendations:
2.3 Javadoc Comments
2.3.1 Rules:
2.3.2 Recommendations:
2.4 Files
2.4.1 Rules:
2.4.2 Recommendations:
2.5 Naming Conventions
2.5.1 Rules:
2.5.2 Recommendations:
2.6 Class Member Access
2.6.1 Rules:
2.6.2 Recommendations:
2.7 Class Constructors & Initialization
2.7.1 Rules:
2.7.2 Recommendations:
2.8 Variables and Types
2.8.1 Rules:
2.9 Flow Control Statements
2.9.1 Rules:
2.9.2 Recommendations:
2.10 Comments
2.10.1 Recommendations:
2.11 Exception-Handling
2.11.1 Rules:
2.12 Event-Handling
2.12.1 Rules:
2.13 Memory Management and Performance
2.13.1 Rules:
2.13.2 Recommendations:
2.14 Concurrency and Thread Safety
2.14.1 Rules:
2.14.2 Recommendations:
2.15 API Design and Interfaces
2.15.1 Rules:
2.15.2 Recommendations:
2.16 Collection Framework Best Practices
2.16.1 Rules:
2.16.2 Recommendations:
2.17 Java 8+ Features Standards
2.17.1 Rules:
2.17.2 Recommendations:
2.18 Logging Standards
2.18.1 Rules:
2.18.2 Recommendations:
2.19 Testing and Mocking Standards
2.19.1 Rules:
2.19.2 Recommendations:
Front-End Styling (CSS)
Core Principles
Formatting & Syntax
Naming Conventions (BEM)
Pre-processor Specifics (SCSS & LESS)
1. Variables
2 Nesting
3. Mixins vs. Extend
Architecture (The 7-1 Pattern)
Responsive Design & Units
Performance
Accessibility (A11y)
Golang
1. Introduction & Philosophy
2. Project Layout & Structure
3. Formatting & Style
3.1 Automated Formatting
3.2 Imports
3.3 Line Length
4. Naming Conventions
4.1 Packages
4.2 Variables
4.3 Interfaces
4.4 Getters
5. Architecture & Design patterns
5.1 Dependency Injection
5.2 Interfaces: Consumer Defined
5.3 Configuration
6. Error Handling
6.1 Inspectable Errors
6.2 Checking Errors
6.3 Indentation (Line of Sight)
7. Concurrency
7.1 Lifecycle Management
7.2 Communication
7.3 Context Usage
8. Performance & Memory
8.1 Pointers vs Values
8.2 Slice Allocation
9. Testing
9.1 Table-Driven Tests
9.2 Test Packages
9.3 Race Detection
9.4 Code Coverage
10. Observability (Logging & Metrics)
11. Linting Configuration
Java EE
1. Revision History
2. General Java Naming Conventions
3. J2EE Application, Module, and Component Names
4. EJB Component Naming Standards
5. Web Component Naming Standards
6. Web Service Naming (JAX-RPC & Endpoint)
7. Reference Names (JNDI & Resources)
8. Database & XML Document Naming
9. Deployment Descriptor & Manifest Standards
10. Modern Jakarta EE Compatibility
11. Architecture & Layering Strategy
12. General Coding Standards
12.1. Dependency Injection (DI)
12.2. Avoid "Magic Numbers"
12.3. Use StringBuilder for Loops
13. EJB and CDI (Dependency Injection)
14. JPA (Persistence) Best Practices
15. RESTful API Design (JAX-RS)
16. Exception Handling
17. Logging
18. Security & Validation Best Practices
Javascript
Preface
Modules system
Packages management
Node modules
Repository secrets handling
Compilers
Monorepository recipes
Linting and formatting
.editorconfig file
Prettier (general)
ESLint common configs
ESLint config for Javascript
ESLint config for Typescript
VSCode setup
Testing framework selection
Python
1. Code Layout & Formatting
1.1 Indentation
1.2 Line Length
1.3 Imports
1.4 Whitespace
2. Naming Conventions
3. Modern Type Hinting (Python 3.10+)
3.1 Syntax
3.2 Collections
4. Documentation & Docstrings
4.1 Format
4.2 Comments
5. Programming Best Practices
5.2 Conditionals & Truthiness
5.3 Magic Numbers
6. Async & Performance (Modern Standards)
6.1 Async/Await
6.2 Loops
7. Security & Privacy
8. Automation & Tooling
Request structure guidelines
Introduction
Objectives
General principles
1. Consistency across all services
2. Clear separation of concerns
3. Strong typing and validation
Request structure
1. Header (mandatory)
2. Data (mandatory)
3. Metadata (optional)
Validation rules
Response structure
1. Success response structure
2. Error response structure
Standardised pagination, sorting, and date filtering schemas
Pagination structure
Naming and structural conventions
Summary
Scala
1. General Principles
1.1 Purpose
1.2 Consistency
2. Coding Style
2.1 Line Length
2.2 Indentation
2.3 Braces
2.4 Whitespace
3. Naming
3.1 Naming Styles
3.2 Method Names
4. Code Organization
4.1 File Structure
4.2 Declaration Order
4.3 Imports
5. Types and Variables
5.1 Variable Declaration
5.2 Null Safety
6. Functions and Methods
6.1 Method Signatures
6.2 Functional Style
7. Error Handling
7.1 Using Try/Either/Future
7.2 Exceptions
8. Comments
8.1 Documentation Comments
8.2 TODO and FIXME
9. Testing
9.1 Test Structure
9.2 Mocking
10. Performance and Optimization
10.1 Principles
10.2 Common Pitfalls
11. Tools and Automation
11.1 Formatting
11.2 Static Analysis
Appendix A: Examples
A.1 Good Practices from the Code
A.2 Areas for Improvement
TypeScript
Best Coding Practices:
Best Linting Practises:
Recommended Extensions for VScode:
VS Code configuration file for Typescript Linting:
Recommended TS Config file:
Scripts to add to package.json
Commands to check on whether repository is following Lint:
iOS Coding Standard (Swift)
1. Objective
2. Scope
3. Architecture & Project Structure
4. Naming Conventions
5. Code Formatting & Style
6. UI/UX & Resource Management
7. Networking & Data Handling
8. Error Handling & Logging
9. Security & Performance
10. Testing
11. Automation & CI/CD Integration
12. References
Product Integration
Approval
Document Revision History
Table of Contents
1. Introduction
2. Integration Guideline
2.1. Understanding the Product Design
2.2. Integration Strategy
Approach to Software Integration
2.3. Environment
2.4. Verification and Validation
Software Integration Testing
3. Continuous Integration Process
3.1. Continuous Integration Process
This is how the sequence of events would appear:
3.2. Continuous Integration Tools
3.3. CI Benefits
3.4 CI In QA – A Point Of View
3.5. CI Implementation And Best Practices
Conclusion
Practical Training PPT
Procedure
Configuration Management (CM)
1.Introduction
2.Goals and objectives
3.Scope
4.Policies
5. References
6. Definitions and Acronyms
7. Entry Criteria
8. Stakeholders, Roles, and Responsibilities
9. Process Description
10. Measurements
11. Verification
12. Skills Required
13. Exit Criteria
Estimating (EST)
1. Introduction
2. Policies
3. Work Product
4. Estimation Guideline
5. Estimation Methods
6. Estimation Valuation
6.1. Ratio
7. Enovate’s Estimation Structure
8. Factors Affecting Estimation Approach
9. Sharing Estimation / Cost with the Seller
10. Records of Estimating
11. Roles and Responsibilities
12. Process Flow and Description
Initial Phase
Change in the Requirement hours management
When the project is in Progress
13. Skills Required
14. Verification and Validation
15. Measurements
16. Entry and Exit Criteria
Managing Performance and Measurement (MPM)
Monitoring and Control (MC)
1. Introduction
2. Purpose, Goals, and Objective
3. Scope
4. Policies
5. Work Product
6. References
7. Records of MC
8. Roles and Responsibilities
9. Process flow and Description
10. Measurements
11. Verification and Validation
11. Skills Required
13. Entry and Exit Criteria
14. Acronyms and Abbreviation
Peer Review (PR)
1. Introduction
2. Purpose, Goals, and Objective
3. Policies
4. Work Product
5. References
6. Roles and Responsibilities
7. Records of Peer Review
8. Skills Required
9. Verification and Validation
10. Entry and Exit Criteria
11. Acronyms and Abbreviations
Planning (PLAN)
1. Introduction
2. Purpose, Goals, and Objective
3. Scope
4. Policies
5. Work Product
6. References
7. Records of PLAN
9. Process Flow and Description
Part 1-Basic Project Flow
10. Project Life Cycles
Iterative Life Cycles
12.1. Waterfall Life Cycle
12.2. V Model
13. Measurements
14. Skills Required
15. Verification and Validation
16.Entry and Exit Criteria
17. Acronyms and Abbreviation
Process Management (PCM)
1. Introduction
2. Purpose and Goals
3. Scope
4. Policies
5. Work Products
6. Process Management Guideline
Process Tailoring
7. Records of PCM
8. Roles and Responsibility
9. Skills Required
10. Verification and Validation
11.Entry and Exit Criteria
12. Acronyms and Abbreviation
Process Quality Assurance (PQA)
1. Introduction
2. Purpose and Goals
3. Scope
4. Policies
5. Records of PQA
6. Audit Life Cycle
7. Roles and Responsibility
8. Skills Required
9. Process Flow and Description
10. Verification and Validation
11. Measurements
12. Entry and Exit Criteria
13. Acronyms and Abbreviation
Product Integration (PI)
Requirement Development Management(RDM)
1. Introduction
2. Purpose, Goals, and Objective
3. Scope
4. Policies
5. Work Product
6. References
7. Records of RDM
8. Roles and Responsibilities
9. Process Flow and Description
9.1. Part 1—Initial Requirements
9.2. Part 2: CM and PQA Process
9.3. Part 3: Change in Requirement Management, New Requirements
10. Skills Required
11. Traceability
11.1. Requirement Traceability
12. Measurements
13. Verification and Validation
14. Entry and Exit Criteria
Entry Criteria
Exit Criteria
15. Acronyms and Abbreviations
Risk and Opportunity Management
1. Introduction
2. Process
3. Risk Identification
4. Risk Analysis
5. Risk Response Planning
6. Risk Monitoring, Controlling and Reporting
7. Tools and Practices
8. Records of RSK
9. Policies
10. Work Product
11. Roles and Responsibilities
12. Measurements
13. Verification and Validation
14. Process Flow
15. Entry and Exit Criteria
16. Definitions, Acronyms, and Abbreviation
Technical Solution (TS)
Verification and Validation (VV)
Process Areas - Documents & Evidences
1. Requirement Development Management (RDM)
2. Process Quality Assurance (PQA)
3. Peer Review (PR)
4. Verification and Validation (VV)
5. Technical Solution (TS)
6. Product Integration (PI)
7. Estimating (EST)
8. Planning (PLAN)
9. Monitor and Control (MC)
10. Configuration Management (CM)
11. Process Change Management (PCM)
12. Managing Performance and Measurement (MPM)
Process Areas
Standard
Document Creation
(Project Name)
(Subtitle if required)
Document Revision History:
Introduction
Required Topics
Font Name, Font Size, Font Color
Naming Conventions of the Document
Don’t miss
Naming Convention Standard
1. Introduction
2. Purpose
3. Scope
4. Standard Document Naming Structure
4.1. Documents with Version
4.2. Documents without Version
5. Naming Convention for Release and Test Plans
6. Naming Convention for Spreadsheets
7. Naming Convention for Other File Types
8. Sprint Naming Convention
9. Document Type Codes
10. DocTypeNumber
11. Document Categories
12. General File Restrictions
13. Email Subject Line Standard
14. Versioning Guidelines
15. Compliance
16. Definitions
17. Process Area Codes
18. Document Control
19. Abbreviations
Templates
Audit Plan
1. Introduction
2. Objective and Purpose
3. Scope
4. General Information
5. Audit Objectives:
4.2. Audit Scope
4.3. Auditing Team
4.4. Language
4.5. Dates and Places
LLD
1. Problem Statement
2. Scope
3. Solution Approach (Technical Design)
3.1 Overview
3.2 Components / Modules Involved
3.3 API Design
3.4 Data Flow
3.5 Database Impact
3.6 Business Logic
3.7 Service Design
3.8 Error Handling
3.9 Edge Cases
3.10 Performance Considerations
3.11 Security Considerations
4. Sequence Diagram
5. Unit Test Criteria
6. Integration / QA Test Scenarios
7. Dependencies
8. Assumptions
9. Risks & Mitigation
10. Deployment / Rollout Plan
11. Open Questions
E
Enovate Tools
KPI
GetU.at - Shorten Your Loooong URLs
HRM Tool
VCards
Production App Monitor
Internal AI Tool
Jira
GitLab
GreytHR (Payrule)
EnovateIT
Company Profile & Website Portfolio
1. Company Overview
2. Core Services & Expertise
Website Development & Optimization
Digital Product Engineering
UI/UX Design
Cloud & DevOps
3. Website Development Experience
4. Selected Website Projects
1. Eduracle
2. Pet Care Platform (Confidential – Petsked)
3. Enterprise Website (Confidential – Clerisy Inc)
5. Additional Web Platform
FinTech & Financial Platforms
Gaming, Marketplace & Engagement Platforms
Enterprise, Manufacturing & Automation Platforms
Business, IoT & Analytics Platforms
6. Partner & White-Label Deliveries
7. Broader Technical Capability
8. Technology Stack
9. Team Structure
10. Development Approach
11. Why Enovate IT
12. Contact Information
Closing Note
H
Home
L
Local AI
Prerequisites
Step 1 — Sign Up on Open WebUI
Step 2 — Open Settings
Step 3 — Get Your API Key
Step 4 — This Server is Your OpenAI API Platform
Option A — Aider (Terminal)
1. Install Aider
2. Point Aider at the local server and run
Option B — Cline (VS Code / Cursor)
1. Install the Cline extension
2. Configure Cline
Quick Reference
Troubleshooting
P
Projects
Audit-matic
The Problem
Our AI Solution
Technology Stack
Project Architecture
Challenges & Learnings
Future Roadmap
Repository & Live Demo
HLD
Introduction
Solution Overview
Problem Statement
Solution Summary
Project Goals and Objectives
Target Users & Roles
Scope
Critical Success Factors
Assumptions
Constraints
System architecture
Architectural design
Web app backend endpoints interactions
Authorization/authentication
Technology Stack:
Authorization/authentication
Data Design
Entity-Relationship Diagram (ERD)
Architecture Diagram
Component & Module Design
Component Breakdown
Component Responsibilities
Interaction Model
API Design & Integrations
Public API Design
Authentication & Authorization
Third-Party Integrations
Security Considerations
Authentication & Authorization Flow
Data Security
CommNet
Project Description
System Architecture
Frontend
Backend (Go)
Database
AI / NLP
Communication Integrations
File Handling & Knowledge Base
Infrastructure
System Architecutre Diagram
1. Tech Stack
2. Core Modules & Features
🔹 Client Onboarding
🔹 Communication Channels
🔹 AI Model Connector
🔹 Knowledge Base
🔹 MCP (Model Context Protocol)
🔹 Query Processing
🔹 Monitoring & Admin Portal
RAG system-
Dataflow Diagram
3. Database Design (PostgreSQL)
Tables
4. External Integrations
5. Deployment & Scaling
Sequence Diagram - Click to View
Future Scope
1. Additional Communication Channels
2. Ticketing & Workflow Management
3. Advanced AI Features
4. Analytics & Insights
🔸 Scope of Demo 1
✅ Completed in Demo 1
🧩 Client Onboarding & Authentication
🤖 AI Model Management
🏢 Workspace Management
⚙️ MCP Server Management
💬 Communication Channel (Telegram)
🧠 AI Agent Management
🔮 Future Scope
A. Functional Enhancements
📚 Knowledge Base (KB) Management
💬 Conversation & Message Flow
📋 Task & Group Management
🌐 Additional Communication Channels
📊 Admin & Analytics Dashboard
B. Non-Functional Enhancements
🚀 Scalability & Performance
🔒 Security & Compliance
⚙️ Reliability & Observability
🎨 User Experience
Face Recognation
Overview
Objective
Purpose
Key Features
Outcome
The Problem
Our AI Solution
System Overview
How the System Operates
Why It Stands Out
Technology Stack
Project Architecture
System Architecture Overview
External Systems
Your System Components
API Gateway
Camera Streamer
Face Recognition Service (Core AI Engine)
Database
Webhook Dispatcher
Message Queue (Recommended Addition)
Monitoring & Logging
Frontend (FE)
Data Flow
Sequence Diagram
ERD
Challenges & Learnings
Future Roadmap
Repository & Live Demo
Screenshots / Demo Video
Document
1.Introduction
2. System Overview
3. Architecture Design
4. Component Design
Flowcast
1. Purpose
2. What FlowCast Provides
3. Responsibilities of Application Teams
A. Automation Scripts
B. Narration Mapping
C. Application Environment
D. Configuration
E. Review & Feedback
F. Security & Compliance
4. Workflow Overview
5. Governance
6. Tools & Services
7. Project Flow
8. AI Parts of the Challenge
9. Team plans and goals
10. Sequence Diagram
11. ERD
11. Technology Stack
12. Multi-Model Video Analysis Limits: The 6-Minute Test Case
13. Some API options
14. What you should check / consider
15. The best AI video editing software
Enovate IT-QMS-PL01-Project Plan-[FlowCast]-V10
Tools & Services
Project Flow
AI Parts of the Challenge
Team plans and goals
Sequence Diagram
ERD
Technology Stack
HireGenius
Project: [HireGenius ]
## Overview
The Problem
Our AI Solution
What does it do?
How does it work?
What makes it innovative?
Technology Stack
Project Architecture
Challenges & Learnings
Future Roadmap
Repository & Live Demo
Screenshots / Demo Video
SRS
AI-Powered Recruitment Automation System
Document Revision History
Table of Contents
1. Introduction
2. Business Goals
3. Business Requirements
Job Management
Resume Collection
Resume Processing
Candidate Ranking
Dashboard & Interaction
Duplicate Handling
Future Scope : Notifications & Logs
4. System Requirements
Job Module
Gmail Integration Module
Resume Parser Module
Embedding Module
Ranking Module
Candidate Management Module
Dashboard Module
Error Handling
Technical Document (LLD+HLD))
HireGenius- AI-Powered Recruitment Automation System
📘 Table of Contents
1. System Overview
1.1 🎯 Purpose
1.2 ⚙️ Key Capabilities
1.3 🧰 Technology Stack
2. Module Breakdown
Module 1: Unified Resume Ingestion Module
Core Functions
Phase 1: Gmail Module
Module 2: Resume Parser Module
Alternative AI Approach (Optional Enhancement)
Module 3: Embedding Module
Module 4: Database Module
Module 5: Job Description Module
Module 6: Ranking Module
Module 7: Application Controller
Module 8: HR UI Module
3. API Design
3.1 Authentication Endpoints
3.2 Job Management Endpoints### 9. Phase Two Enhancements (AI-assisted Interview Scheduler)
3.3 Candidate Retrieval Endpoint### 9. Phase Two Enhancements (AI-assisted Interview Scheduler)
3.4 Resume Processing Endpoints (Internal)
3.5 Dashboard & Analytics Endpoints
9. Phase Two Enhancements (AI-assisted Interview Scheduler)
4. Database Design
4.1 Entity Relationship Diagram (ERD)
4.2 Table Specifications
Table: users
Table: jobs
Table: candidates
Table: job_candidate_matches
Table: managers
Table: manager_availabilities
Table: job_managers
Table: communicationBusiness
Table: interview_schedule
Table: templates
4.3 Database Relationships
4.4 pgvector Configuration
9. Phase Two Enhancements (AI-assisted Interview Scheduler)
5. Business Workflow
PHASE 1: JOB CREATION
PHASE 2: RESUME INGESTION (Automated - Every 4 hours)
PHASE 3: CANDIDATE RANKING (On-Demand)
PHASE 4: CANDIDATE INTERACTION (Manual)
PHASE 5: JOB CLOSURE
6. System Architecture
7. Sequence Diagram
8. Flow Diagram
9. Phase Two Enhancements
AI-assisted interview scheduler
OptiQA
Sentify
The Problem
Our AI Solution
Technology Stack
Project Architecture
Architecture Diagram:
Sequence Diagram:
Flow chart Diagram:
HLD
Design
Challenges & Learnings
1. Understanding AI Models & Prompt Engineering
2. Working With Vector Embeddings
3. Python Ecosystem & NLP Processing
4. Backend & Infrastructure Challenges
5. Frontend Challenges (Flutter)
6. Project & Time Management
Future Roadmap
Short-Term Goals (0–2 months)
Medium-Term Goals (2–6 months)
Long-Term Goals (6+ months)
Repository
Demo URL
Screenshots
SkillShift
🔎 Overview
✨ Key Characteristics
❌ The Problem
💡 Our AI Solution
✅ What does it do?
⚙️ How does it work?
🏗️ Architecture
🔄 Data Flow
🚀 What makes it innovative?
🛠️ Technology Stack
🏗️ Project Architecture
🧩 Challenges & Learnings
📅 Future Roadmap
📂 Repository & Demo
📸 Screenshots / Demo Video
🏷️ Categories
HLD
1. Introduction
Platform Users
2. Objectives
3. Initial Scope (MVP Deliverables)
4. Users & Roles
5. Architecture Overview
6. Module Breakdown
6.1 Integration Layer
6.2 Processing & Embedding Layer
6.3 Knowledge Store (PostgreSQL + pgvector)
Schema (MVP)
Logical Data Model
Relationships (Conceptually)
6.4 AI Workflow Automation Layer
6.5 Backend (API Layer)
Key Endpoints
6.6 Frontend (React)
Employee View
HR/Manager/Admin View
7. Data Flow Example
8. Tech Stack
9. Security & Compliance (Outside MVP)
9.1 Data Protection
9.2 Access Control & Authentication
9.3 SOC 2 & GDPR Alignment
9.4 Data Retention & Anonymization
10. Future Enhancements
LLD
1. Project Layout
📁 Repository Structure
2. Database Schema — SQL DDL
Employee Domain
Message Domain
Tag Domain
Data Source Domain
🧑💼 employees
💬 Messages
🏷️ Tags
🔗 Employee–Tag Relationship
🌐 Data Sources
Social Media Manager
Overview
The Problem
Our AI Solution
Technology Stack
Project Architecture
Challenges & Learnings
Future Roadmap
Repository & Live Demo
Screenshots / Demo Video
T
Teams
Team Apex
Projects:Sentify
Our Story
Contact Us
Team Catalyst
Team Template
Team: [Catalyst]
Our Story
Team Members
Full Name (Link to personal wiki page if it exists)
Full Name
Our Hackathon Journey
Contact Us
Team Fusion
Team Members
Project Link
Our Story
Team Member Roles
1. Shilpa Gade
2. Devang Ghorpade
3. Melisha Dsouza
Our Hackathon Journey
Team Nova
General Project Information
Introduction to Project
Project Technologies and Overview
Project Stakeholders, Resource Plan, and Responsibilities
Project Timelines, Milestones, and Estimation
Milestone Releases
Team Orbit
Our Story
Team Members
Prashant Kumar
Rushikesh Jagdale
Sayali Mahajan
Our Hackathon Journey
Contact Us
Team Pulse
Our Story
Team Members
Mayur Mahajan
Poojashree Yadav
Akash Bhosale
Swapnil Shinde
Our Hackathon Journey
Contact Us
Team Quantum
Our Story
Team Members
Harsh Turkar
Switi Patel
Prathamesh Kamble (Link to personal wiki page if it exists)
Chinmay Choudhary
Our Hackathon Journey
Contact Us
Team Spark
Our Story
Team Members
Akash Raskar
Vaishnavi Shinde
Rakesh Lokhande
Kaushal Lamkhade
Our Hackathon Journey
Contact Us
Team Vision
Team: [Vision]
Our Story
Team Members
Full Name (Link to personal wiki page if it exists)
Full Name
Our Hackathon Journey
Contact Us
Templates
Project Template
Overview
The Problem
Our AI Solution
Technology Stack
Project Architecture
Challenges & Learnings
Future Roadmap
Repository & Live Demo
Screenshots / Demo Video
Team Template
Team: [Your Team Name Here]
Our Story
Team Members
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