Enhance documentation structure and formatting in INDEX.md and README.md for better readability and organization

Author: ayanalamMOON

INDEX.md

@@ -17,16 +17,19 @@ This document serves as a comprehensive index and navigation guide for the LeetC
 ### By Difficulty Level
 
 #### Easy Problems
+
 | Problem # | Title | Topics | Folder | Status |
 |-----------|-------|--------|--------|--------|
 | 2894 | [Divisible and Non-divisible Sums Difference](Daily_Problems/DailyProblem5/) | Math, Array | DailyProblem5 | ✅ Complete |
 
 #### Medium Problems
+
 | Problem # | Title | Topics | Folder | Status |
 |-----------|-------|--------|--------|--------|
 | 1061 | [Lexicographically Smallest Equivalent String](Daily_Problems/DailyProblem7/) | Union Find, String | DailyProblem7 | ✅ Complete |
 
 #### Hard Problems
+
 | Problem # | Title | Topics | Folder | Status |
 |-----------|-------|--------|--------|--------|
 | 1639 | [Number of Ways to Form a Target String](Rgegular_Practice_Problems/Problem1/) | Dynamic Programming, String | Problem1 | ✅ Complete |
@@ -60,13 +63,15 @@ This document serves as a comprehensive index and navigation guide for the LeetC
 | 1061 | Lexicographically Smallest Equivalent String | Medium | Path Compression, Lexicographical Union | Character Equivalence Classes |
 
 #### Array Manipulation
+
 | Problem # | Title | Difficulty | Array Techniques | Optimization |
 |-----------|-------|------------|------------------|--------------|
 | 2894 | Divisible Sums | Easy | Range Processing | Mathematical Formula |
 
 ### By Problem Source
 
 #### Daily Challenge Problems
+
 Located in `Daily_Problems/`
 
 | Folder | Problem # | Title | Date Added | Completion |
@@ -80,6 +85,7 @@ Located in `Daily_Problems/`
 | DailyProblem7 | 1061 | Lexicographically Smallest Equivalent String | June 2025 | ✅ Complete |
 
 #### Practice Problems
+
 Located in `Rgegular_Practice_Problems/`
 
 | Folder | Problem # | Title | Focus Area | Completion |
@@ -90,38 +96,47 @@ Located in `Rgegular_Practice_Problems/`
 ## 🔍 Search by Algorithm Pattern
 
 ### Two Pointers
+
 - **Available**: None currently
 - **Planned**: Binary search problems, array manipulation
 
 ### Sliding Window
+
 - **Available**: None currently
 - **Planned**: Substring problems, array optimization
 
 ### Dynamic Programming
+
 - ✅ **[Problem 1639](Rgegular_Practice_Problems/Problem1/)**: 2D DP with space optimization
 - **Patterns covered**: 2D DP, space optimization, memoization
 
 ### Hash Table/Map
+
 - **Used in**: Problem 1639 (character frequency counting)
 - **Patterns**: Frequency counting, lookup optimization
 
 ### Mathematical Optimization
+
 - ✅ **[Problem 2894](Daily_Problems/DailyProblem5/)**: O(n) to O(1) optimization
 - **Patterns covered**: Arithmetic series, modular arithmetic
 
 ### Graph Algorithms
+
 | Problem # | Title | Difficulty | Graph Techniques | Pattern |
 |-----------|-------|------------|------------------|---------|
 | 1298 | Maximum Candies from Boxes | Hard | BFS, State Management | Graph Traversal |
+
 - **Planned**: DFS/BFS problems, shortest path algorithms
 
 ### Tree Algorithms
+
 - **Available**: None currently
 - **Planned**: Binary tree traversal, manipulation
 
 ## 📊 Language Implementation Status
 
 ### Implementation Matrix
+
 | Problem | C++ | Java | Python | JavaScript | Rust | Total |
 |---------|-----|------|--------|------------|------|-------|
 | 2894 | ✅ | ✅ | ✅ | ✅ | ✅ | 5/5 |
@@ -133,30 +148,35 @@ Located in `Rgegular_Practice_Problems/`
 ### Language-Specific Features Demonstrated
 
 #### C++
+
 - **STL optimization**: Vector reserve, unordered containers
 - **Memory management**: Stack vs heap allocation
 - **Template usage**: Generic programming patterns
 - **Performance**: Compiler optimizations
 
 #### Java
+
 - **Collections framework**: ArrayList, HashMap optimization
 - **Stream API**: Functional programming patterns
 - **Memory management**: Object overhead considerations
 - **Enterprise patterns**: Robust error handling
 
 #### Python
+
 - **Pythonic code**: List comprehensions, built-in functions
 - **Data structures**: Collections module usage
 - **Type hints**: Modern Python development practices
 - **Readability**: Clean, maintainable code
 
 #### JavaScript
+
 - **Modern ES6+**: Arrow functions, destructuring, template literals
 - **Node.js compatibility**: Cross-platform development
 - **Performance**: V8 optimization awareness
 - **Functional programming**: Array methods, higher-order functions
 
 #### Rust
+
 - **Memory safety**: Ownership and borrowing
 - **Performance**: Zero-cost abstractions
 - **Error handling**: Result and Option types
@@ -165,18 +185,21 @@ Located in `Rgegular_Practice_Problems/`
 ## 🎯 Learning Pathways
 
 ### For Beginners
+
 1. **Start with**: [Problem 2894](Daily_Problems/DailyProblem5/) (Easy Math)
 2. **Learn**: Basic algorithm analysis, O(1) optimization
 3. **Languages**: Begin with Python or JavaScript
 4. **Focus**: Understanding problem-solving approach
 
 ### For Intermediate Developers
+
 1. **Start with**: [Problem 1639](Rgegular_Practice_Problems/Problem1/) (Dynamic Programming)
 2. **Learn**: Space optimization, multiple approaches
 3. **Languages**: Try C++ or Java for performance insights
 4. **Focus**: Algorithm optimization and complexity analysis
 
 ### For Advanced Programmers
+
 1. **Study**: All implementations across languages
 2. **Compare**: Performance characteristics and trade-offs
 3. **Contribute**: Add new problems or optimizations
@@ -185,18 +208,21 @@ Located in `Rgegular_Practice_Problems/`
 ### By Learning Goal
 
 #### Algorithm Mastery
+
 - **Dynamic Programming**: Problem 1639
 - **Mathematical Optimization**: Problem 2894
 - **Coming soon**: Graph algorithms, tree manipulation
 
 #### Language Proficiency
+
 - **C++ Systems Programming**: Performance-critical implementations
 - **Java Enterprise**: Robust, maintainable solutions
 - **Python Data Science**: Readable, concise algorithms
 - **JavaScript Full-Stack**: Web-compatible implementations
 - **Rust Systems Safety**: Memory-safe high-performance code
 
 #### Performance Optimization
+
 - **Study**: [Performance Analysis](PERFORMANCE_ANALYSIS.md)
 - **Practice**: Multiple approaches for same problem
 - **Compare**: Cross-language performance characteristics
@@ -239,10 +265,12 @@ Repository Root/
 ### File Naming Conventions
 
 #### Documentation Files
+
 - `Problem.md`: Complete problem statement with examples and constraints
 - `Procedure.md`: Solution approach, complexity analysis, and cross-language comparison
 
 #### Implementation Files
+
 - `InC++.cpp`: C++ solution with STL optimization
 - `InJava.java`: Java solution with enterprise practices
 - `InPython.py`: Python solution with Pythonic patterns
@@ -252,6 +280,7 @@ Repository Root/
 ## 🔧 Development Workflow
 
 ### Adding a New Problem
+
 1. **Choose location**: Daily vs Practice problems
 2. **Create folder**: Follow naming convention (ProblemX)
 3. **Add documentation**: Problem.md and Procedure.md
@@ -261,6 +290,7 @@ Repository Root/
 7. **Update index**: Add to this navigation file
 
 ### Quality Standards
+
 - **Correctness**: All solutions pass test cases
 - **Consistency**: Same algorithmic approach across languages
 - **Documentation**: Complete analysis and explanations
@@ -270,13 +300,15 @@ Repository Root/
 ## 📈 Repository Statistics
 
 ### Current Status
+
 - **Total Problems**: 3 (1 Easy, 2 Hard)
 - **Total Languages**: 5 (C++, Java, Python, JavaScript, Rust)
 - **Total Implementation Files**: 15
 - **Total Documentation Files**: 6 problem docs + 5 repository docs
 - **Lines of Code**: ~3,500 (including tests and documentation)
 
 ### Growth Metrics
+
 - **Problems per Month**: Target 4-6 new problems
 - **Language Coverage**: 100% for all implemented problems
 - **Documentation Completeness**: 100% (all required files present)
@@ -285,18 +317,21 @@ Repository Root/
 ## 🎯 Future Roadmap
 
 ### Short Term (Next 30 Days)
+
 - [ ] Add 5 more problems across different difficulty levels
 - [ ] Implement binary search algorithm problems
 - [ ] Add automated testing framework
 - [ ] Create problem recommendation system
 
 ### Medium Term (Next 90 Days)
+
 - [ ] Reach 15 total problems
 - [ ] Add graph algorithm problems (DFS, BFS)
 - [ ] Implement tree manipulation problems
 - [ ] Create interactive problem selector tool
 
 ### Long Term (Next 6 Months)
+
 - [ ] Reach 50+ problems covering all major algorithm categories
 - [ ] Add advanced data structures (Segment Tree, Trie)
 - [ ] Create performance dashboard with real-time benchmarks
@@ -307,22 +342,27 @@ Repository Root/
 ### Finding Problems by Keyword
 
 #### Algorithm Keywords
+
 - **Dynamic Programming**: Problem 1639
 - **Math Optimization**: Problem 2894
 - **String Processing**: Problem 1639
 - **Array Manipulation**: Problem 2894
 
 #### Difficulty Keywords
+
 - **Easy**: Problem 2894
 - **Hard**: Problem 1639
 - **Interview Prep**: Both problems suitable
 
 #### Company Keywords
+
 - **Premium Problems**: Both current problems
 - **Popular Problems**: Problem 1639 (Hard DP)
 
 ### Performance Comparisons
+
 Use [PERFORMANCE_ANALYSIS.md](PERFORMANCE_ANALYSIS.md) to find:
+
 - **Fastest Language**: C++ consistently
 - **Most Readable**: Python generally
 - **Best Balance**: Java for enterprise, JavaScript for web
@@ -331,11 +371,13 @@ Use [PERFORMANCE_ANALYSIS.md](PERFORMANCE_ANALYSIS.md) to find:
 ## 📞 Support and Contact
 
 ### Getting Help
+
 - **Issues**: Use GitHub issues for bug reports
 - **Questions**: Start a discussion for general questions
 - **Contributions**: Follow [CONTRIBUTING.md](CONTRIBUTING.md) guidelines
 
 ### Community
+
 - **Learning**: Use problems as study material
 - **Practice**: Implement solutions in your preferred language
 - **Contribute**: Add new problems or optimize existing ones